| Data Scientists: | Myunghwan Lee | Gene Moo Lee |
| Affiliations: | Ph.D. Student of Information Systems University of British Columbia |
Associate Professor of Information Systems University of British Columbia |
| Contact: | myunghwan.lee@sauder.ubc.ca Home Page |
gene.lee@sauder.ubc.ca Home Page |
| Application | Dataset | Task | Sub-task | 2nd-sub-task | Model |
|---|---|---|---|---|---|
| adversarial | multiple | attack | prediction | triad prediction | cgnn |
| adversarial | multiple | attack | prediction | triad prediction | mc-svd |
| adversarial | multiple | attack | attack | adversarial attack | pg |
| adversarial | multiple | attack | attack | adversarial attack | bpda |
| adversarial | multiple | attack | attack | adversarial attack | spsa |
| adversarial | multiple | attack | attack | adversarial attack | cw |
| adversarial | multiple | attack | attack | adversarial attack | elastic net |
| adversarial | multiple | attack | attack | adversarial attack | fgsm |
| adversarial | multiple | attack | attack | real-word adversarial attack | advhat |
| adversarial | multiple | attack | attack | real-word adversarial attack | mtcnnattack |
| adversarial | multiple | attack | attack | real-word adversarial attack | adversarial-patch-3d |
| adversarial | multiple | attack | attack | real-word adversarial attack | attack_practical_asv |
| adversarial | multiple | attack | reasoning | inference attack | data_model_dependencies_mia |
| adversarial | multiple | attack | reasoning | inference attack | mi-attack |
| adversarial | multiple | attack | reasoning | inference attack | ml_privacy_meter |
| adversarial | multiple | attack | reasoning | inference attack | privacy-preserving-social-network-embedding |
| adversarial | multiple | attack | reasoning | inference attack | featureinference-vfl |
| adversarial | multiple | attack | reasoning | inference attack | blindmi |
| adversarial | multiple | attack | reasoning | inference attack | gan-leaks |
| adversarial | multiple | attack | reasoning | inference attack | riga |
| adversarial | multiple | attack | reasoning | inference attack | rebmigraph |
| adversarial | multiple | attack | reasoning | inference attack | ml-doctor |
| adversarial | multiple | attack | reasoning | inference attack | adversarial-patch-3d |
| adversarial | multiple | attack | reasoning | inference attack | pricure |
| adversarial | multiple | attack | reasoning | inference attack | security-research-dp-hierarchical-text |
| adversarial | multiple | attack | reasoning | inference attack | membership-inference-attacks-against-object-detection-models |
| adversarial | multiple | attack | reasoning | inference attack | formestdistrisks |
| adversarial | multiple | attack | reasoning | inference attack | aijack |
| adversarial | multiple | attack | reasoning | inference attack | memguard |
| adversarial | multiple | attack | reasoning | inference attack | ecg_gan_mbd |
| adversarial | multiple | attack | reasoning | inference attack | mi-on-el |
| adversarial | multiple | attack | reasoning | inference attack | membershipinferencelottery |
| adversarial | multiple | attack | reasoning | inference attack | soteria |
| adversarial | multiple | attack | reasoning | inference attack | source-inference-fl |
| adversarial | multiple | attack | reasoning | inference attack | mias |
| adversarial | multiple | attack | reasoning | inference attack | mia-gnn |
| adversarial | multiple | attack | reasoning | inference attack | pia_gan |
| adversarial | multiple | attack | reasoning | inference attack | dp-util |
| adversarial | multiple | attack | reasoning | inference attack | fed-ser-leakage |
| adversarial | multiple | attack | reasoning | inference attack | fl-tee |
| adversarial | multiple | attack | reasoning | inference attack | ml-leaks |
| adversarial | multiple | attack | detection | adversarial attack detection | spectraldef_framework |
| adversarial | multiple | attack | detection | adversarial attack detection | featurespaceattack |
| adversarial | multiple | attack | detection | adversarial attack detection | metaadvdet |
| adversarial | multiple | attack | detection | adversarial attack detection | trapdoor |
| adversarial | multiple | attack | detection | adversarial attack detection | sammd |
| adversarial | multiple | attack | attack | website fingerprinting attacks | cnn |
| adversarial | multiple | attack | reasoning | inference attack | mia |
| adversarial | multiple | defense | defense | adversarial defense | stochastic-lwta/pgd/wideresnet-34-10 |
| adversarial | multiple | defense | defense | adversarial defense | sat-efficientnet-l1 |
| adversarial | multiple | defense | defense | adversarial defense | resnet-152 denoise |
| adversarial | multiple | defense | defense | adversarial defense | wideresnet-34-20 |
| adversarial | multiple | defense | defense | adversarial defense | feature denoising |
| adversarial | multiple | defense | defense | adversarial defense | cassandra |
| adversarial | multiple | defense | defense | adversarial defense | auto encoder-block- switching defense with gradcam |
| adversarial | multiple | defense | defense | provable adversarial defense | transformation-smoothing |
| adversarial | multiple | defense | defense | provable adversarial defense | adv-crowd-analysis |
| adversarial | multiple | defense | defense | neural network security | nan |
| adversarial | multiple | defense | defense | website fingerprinting defense | cnn |
| adversarial | multiple | attack | attack | adversarial-attacks-on-face-detectors-using | roi-pooling |
| adversarial | multiple | attack | attack | adversarial-attacks-on-face-detectors-using | convolution |
| adversarial | multiple | attack | attack | adversarial-attacks-on-face-detectors-using | softmax |
| adversarial | multiple | attack | attack | adversarial-attacks-on-face-detectors-using | faster-r-cnn |
| adversarial | multiple | attack | attack | adversarial-attacks-on-face-detectors-using | rpn |
| adversarial | multiple | attack | attack | shapeshifter-robust-physical-adversarial | roi-pooling |
| adversarial | multiple | attack | attack | shapeshifter-robust-physical-adversarial | softmax |
| adversarial | multiple | attack | attack | shapeshifter-robust-physical-adversarial | convolution |
| adversarial | multiple | attack | attack | shapeshifter-robust-physical-adversarial | faster-r-cnn |
| adversarial | multiple | attack | attack | shapeshifter-robust-physical-adversarial | rpn |
| adversarial | multiple | attack | attack | distorting-neural-representations-to-generate | softmax |
| adversarial | multiple | attack | attack | sada-semantic-adversarial-diagnostic-attacks | gan |
| adversarial | multiple | attack | attack | sada-semantic-adversarial-diagnostic-attacks | carla |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | sigmoid-activation |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | squeeze-and-excitation-block |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | roi-align |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | convolution |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | residual-block |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | softmax |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | max-pooling |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | 1x1-convolution |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | resnext |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | relu |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | dense-block |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | he-initialization |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | dropout |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | batch-normalization |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | mask-r-cnn |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | resnet |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | average-pooling |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | dense-connections |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | global-average-pooling |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | senet |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | concatenated-skip-connection |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | densenet |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | resnext-block |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | grouped-convolution |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | residual-connection |
| adversarial | multiple | defense | defense | learning-deep-compositional-grammatical | bottleneck-residual-block |
| computer vision | image, video | classification | video classification | video-classification | dcgn |
| computer vision | image, video | classification | video classification | video-classification | multigrid |
| computer vision | image, video | classification | video classification | video-classification | msnet-r50en |
| computer vision | image, video | classification | video classification | video-classification | mmdl |
| computer vision | image, video | classification | video classification | video-classification | cooperative ours |
| computer vision | image, video | classification | video classification | video-classification | cnn+lstm |
| computer vision | image, video | classification | video classification | group-normalization | roi-align |
| computer vision | image, video | classification | video classification | group-normalization | convolution |
| computer vision | image, video | classification | video classification | group-normalization | softmax |
| computer vision | image, video | classification | video classification | group-normalization | residual-block |
| computer vision | image, video | classification | video classification | group-normalization | max-pooling |
| computer vision | image, video | classification | video classification | group-normalization | focal-loss |
| computer vision | image, video | classification | video classification | group-normalization | group-normalization |
| computer vision | image, video | classification | video classification | group-normalization | 1x1-convolution |
| computer vision | image, video | classification | video classification | group-normalization | relu |
| computer vision | image, video | classification | video classification | group-normalization | retinanet |
| computer vision | image, video | classification | video classification | group-normalization | he-initialization |
| computer vision | image, video | classification | video classification | group-normalization | batch-normalization |
| computer vision | image, video | classification | video classification | group-normalization | mask-r-cnn |
| computer vision | image, video | classification | video classification | group-normalization | fpn |
| computer vision | image, video | classification | video classification | group-normalization | resnet |
| computer vision | image, video | classification | video classification | group-normalization | average-pooling |
| computer vision | image, video | classification | video classification | group-normalization | global-average-pooling |
| computer vision | image, video | classification | video classification | group-normalization | bottleneck-residual-block |
| computer vision | image, video | classification | video classification | group-normalization | residual-connection |
| computer vision | image, video | classification | video classification | non-local-neural-networks | convolution |
| computer vision | image, video | classification | video classification | non-local-neural-networks | residual-block |
| computer vision | image, video | classification | video classification | non-local-neural-networks | max-pooling |
| computer vision | image, video | classification | video classification | non-local-neural-networks | non-local-operation |
| computer vision | image, video | classification | video classification | non-local-neural-networks | embedded-dot-product-affinity |
| computer vision | image, video | classification | video classification | non-local-neural-networks | weight-decay |
| computer vision | image, video | classification | video classification | non-local-neural-networks | 1x1-convolution |
| computer vision | image, video | classification | video classification | non-local-neural-networks | resnext |
| computer vision | image, video | classification | video classification | non-local-neural-networks | relu |
| computer vision | image, video | classification | video classification | non-local-neural-networks | he-initialization |
| computer vision | image, video | classification | video classification | non-local-neural-networks | concatenation-affinity |
| computer vision | image, video | classification | video classification | non-local-neural-networks | batch-normalization |
| computer vision | image, video | classification | video classification | non-local-neural-networks | sgd-with-momentum |
| computer vision | image, video | classification | video classification | non-local-neural-networks | resnet |
| computer vision | image, video | classification | video classification | non-local-neural-networks | embedded-gaussian-affinity |
| computer vision | image, video | classification | video classification | non-local-neural-networks | average-pooling |
| computer vision | image, video | classification | video classification | non-local-neural-networks | global-average-pooling |
| computer vision | image, video | classification | video classification | non-local-neural-networks | resnext-block |
| computer vision | image, video | classification | video classification | non-local-neural-networks | grouped-convolution |
| computer vision | image, video | classification | video classification | non-local-neural-networks | residual-connection |
| computer vision | image, video | classification | video classification | non-local-neural-networks | bottleneck-residual-block |
| computer vision | image, video | classification | video classification | non-local-neural-networks | non-local-block |
| computer vision | image, video | classification | medical classification | retinal-oct-disease-classification | resnet50-v1 |
| computer vision | image, video | classification | medical classification | retinal-oct-disease-classification | inceptionv3 |
| computer vision | image, video | classification | medical classification | retinal-oct-disease-classification | xception |
| computer vision | image, video | classification | medical classification | retinal-oct-disease-classification | opticnet-71 |
| computer vision | image, video | classification | image classification | image-classification | coanet-7 |
| computer vision | image, video | classification | image classification | image-classification | vit-h/14 |
| computer vision | image, video | classification | image classification | image-classification | effnet-l2 |
| computer vision | image, video | classification | image classification | image-classification | wide-resnet-101 |
| computer vision | image, video | classification | image classification | image-classification | cnn+lstm |
| computer vision | image, video | classification | image classification | image-classification | wrn28019 |
| computer vision | image, video | classification | image classification | image-classification | meta pseudo labels |
| computer vision | image, video | classification | image classification | image-classification | cct-14/7*2 |
| computer vision | image, video | classification | image classification | image-classification | mae |
| computer vision | image, video | classification | image classification | image-classification | pgdf |
| computer vision | image, video | classification | image classification | multi-label-image-classification | nan |
| computer vision | image, video | classification | image classification | superpixel-image-classification | nan |
| computer vision | image, video | classification | image classification | self-supervised-image-classification | nan |
| computer vision | image, video | classification | image classification | semi-supervised-image-classification | nan |
| computer vision | image, video | classification | image classification | action-classification | mtv-h |
| computer vision | image, video | classification | image classification | action-classification | tokenlearner |
| computer vision | image, video | classification | image classification | action-classification | cover |
| computer vision | image, video | classification | image classification | action-classification | mtv-h |
| computer vision | image, video | classification | image classification | action-classification | tokenlearner |
| computer vision | image, video | classification | image classification | action-classification | vpn++ |
| computer vision | image, video | classification | image classification | action-classification | 3c-net |
| computer vision | image, video | classification | image classification | action-classification | w-talc |
| computer vision | image, video | classification | image classification | action-classification | mars+rgb+flow |
| computer vision | image, video | classification | image classification | scene-classification | isqrt-cov-net |
| computer vision | image, video | classification | image classification | scene-classification | msmatch |
| computer vision | image, video | classification | image segmentation | semantic segmentation | hrnetv2 + ocr |
| computer vision | image, video | classification | image segmentation | semantic segmentation | semask |
| computer vision | image, video | classification | image segmentation | semantic segmentation | swinv2-g |
| computer vision | image, video | segmentation | image segmentation | semantic segmentation | efficientnet-l2+nas-fpn |
| computer vision | image, video | segmentation | image segmentation | semantic segmentation | senformer |
| computer vision | image, video | segmentation | image segmentation | semantic segmentation | hrnetv2-ocr+psa |
| computer vision | image, video | segmentation | image segmentation | semantic segmentation | pointtransformer |
| computer vision | image, video | segmentation | image segmentation | semantic segmentation | mix3d |
| computer vision | image, video | segmentation | image segmentation | semantic segmentation | pointmixer |
| computer vision | image, video | segmentation | image segmentation | real-time-semantic-segmentation | nan |
| computer vision | image, video | segmentation | video segmentation | unsupervised-video-object-segmentation | hcpu |
| computer vision | image, video | segmentation | video segmentation | unsupervised-video-object-segmentation | propose-reduce |
| computer vision | image, video | segmentation | video segmentation | unsupervised-video-object-segmentation | unovsot |
| computer vision | image, video | segmentation | video segmentation | unsupervised-video-object-segmentation | alba |
| computer vision | image, video | segmentation | video segmentation | unsupervised-video-object-segmentation | frameselect |
| computer vision | image, video | segmentation | video segmentation | unsupervised-video-object-segmentation | cosnet |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | swin unetr |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | nnformer |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | unet++ |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | dc-unet |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | resunet+++tta |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | uacanet-l |
| computer vision | image, video | segmentation | medical segmentation | medical image segmentation | msrf-net |
| computer vision | image, video | segmentation | medical segmentation | tumor segmentation | salient attention u-net |
| computer vision | image, video | segmentation | image segmentation | interactive-segmentation | nan |
| computer vision | image, video | segmentation | 3d image segmentation | 3d-instance-segmentation | nan |
| computer vision | image, video | segmentation | image segmentation | hand-segmentation | nan |
| computer vision | image, video | segmentation | video segmentation | video-object-segmentation | nan |
| computer vision | image, video | segmentation | image segmentation | human-part-segmentation | nan |
| computer vision | image, video | segmentation | video segmentation | video-semantic-segmentation | nan |
| computer vision | image, video | segmentation | image segmentation | human-instance-segmentation | nan |
| computer vision | image, video | segmentation | image segmentation | instance-segmentation | nan |
| computer vision | image, video | segmentation | image segmentation | scene-segmentation | nan |
| computer vision | image, video | segmentation | image segmentation | one-shot-segmentation | nan |
| computer vision | image, video | segmentation | image caption | image-captioning | nan |
| computer vision | image, video | segmentation | image segmentation | panoptic-segmentation | nan |
| computer vision | image, video | segmentation | one-shot-segmentation | one-shot-segmentation-in-clutter | convolution |
| computer vision | image, video | segmentation | one-shot-segmentation | one-shot-segmentation-in-clutter | max-pooling |
| computer vision | image, video | segmentation | one-shot-segmentation | one-shot-segmentation-in-clutter | relu |
| computer vision | image, video | segmentation | one-shot-segmentation | one-shot-segmentation-in-clutter | u-net |
| computer vision | image, video | segmentation | one-shot-segmentation | one-shot-segmentation-in-clutter | concatenated-skip-connection |
| computer vision | image, video | generation | image generation | image generation | nan |
| computer vision | image, video | generation | image generation | object-proposal-generation | nan |
| computer vision | image, video | generation | image generation | image-augmentation | nan |
| computer vision | image, video | generation | image generation | image-retrieval | nan |
| computer vision | image, video | generation | image generation | image-manipulation | nan |
| computer vision | image, video | generation | video generation | video-retrieval, 3d-shape-retrieval | nan |
| computer vision | image, video | generation | image generation | 3d-reconstruction | roi-pooling |
| computer vision | image, video | generation | image generation | 3d-reconstruction | convolution |
| computer vision | image, video | generation | image generation | 3d-reconstruction | softmax |
| computer vision | image, video | generation | image generation | 3d-reconstruction | faster-r-cnn |
| computer vision | image, video | generation | image generation | 3d-reconstruction | rpn |
| computer vision | image, video | generation | image generation | image-dehazing | nan |
| computer vision | image, video | generation | image generation | image-restoration | nan |
| computer vision | image, video | generation | image generation | image-denoising | nan |
| computer vision | image, video | generation | code prediction | code generation | nan |
| computer vision | image, video | generation | code prediction | code document generation | nan |
| computer vision | image, video | recognition | 3d image recognition | 3d-shape-recognition | nan |
| computer vision | image, video | recognition | image recognition | logo-recognition | triplet-loss |
| computer vision | image, video | recognition | image recognition | person-re-identification | nan |
| computer vision | image, video | recognition | image recognition | multi-person-pose-estimation | nan |
| computer vision | image, video | recognition | image recognition | scene-understanding | nan |
| computer vision | image, video | recognition | image recognition | depth-estimation | nan |
| computer vision | image, video | recognition | image recognition | object-recognition | nan |
| computer vision | image, video | recognition | image recognition | face-recognition, face-verification | nan |
| computer vision | image, video | recognition | image recognition | action-recognition | nan |
| computer vision | image, video | recognition | video recognition | action-recognition-in-videos | nan |
| computer vision | image, video | recognition | video recognition | video-recognition | nan |
| computer vision | image, video | detection | video detection | video-object detection | nan |
| computer vision | image, video | detection | video detection | video-salient-object-detection | nan |
| computer vision | image, video | detection | image detection | saliency-detection | nan |
| computer vision | image, video | detection | image detection | salient-object-detection | nan |
| computer vision | image, video | detection | image detection | key point detection | nan |
| computer vision | image, video | detection | image detection | fingertip-detection | nan |
| computer vision | image, video | detection | 3d image detection | 3d-object-detection | nan |
| computer vision | image, video | detection | video detection | fish-detection | nan |
| computer vision | image, video | detection | medical detection | medical-object-detection | dkma-uld |
| computer vision | image, video | detection | medical detection | medical-object-detection | attention-based model |
| computer vision | image, video | detection | medical detection | medical-object-detection | wfd-c |
| computer vision | image, video | detection | medical detection | medical-object-detection | circlenet |
| computer vision | image, video | detection | image detection | boundary-detection | convolution |
| computer vision | image, video | detection | image detection | boundary-detection | fcn |
| computer vision | image, video | detection | image detection | boundary-detection | max-pooling |
| computer vision | image, video | detection | image detection | window-detection | nan |
| computer vision | image, video | detection | image detection | scene-text-detection | nan |
| computer vision | image, video | detection | image detection | object-detection | nan |
| computer vision | image, video | detection | image detection | small-object-detection | nan |
| computer vision | image, video | detection | image detection | object-detection-in-aerial-images | nan |
| computer vision | image, video | detection | image detection | weakly-supervised-object-detection | nan |
| computer vision | image, video | detection | image detection | robust-object-detection | nan |
| computer vision | image, video | detection | image detection | real-time-object-detection | nan |
| computer vision | image, video | detection | image detection | few-shot-object-detection | nan |
| computer vision | image, video | detection | image detection | object-discovery | nan |
| computer vision | image, video | detection | image / video detection | action-detection | nan |
| computer vision | image, video | detection | image / video detection | hand-detection | nan |
| computer vision | image, video | detection | image / video detection | face-detection | nan |
| computer vision | image, video | detection | image / video detection | human-detection | nan |
| computer vision | image, video | detection | image detection | curved-text-detection | nan |
| computer vision | image, video | detection | image detection | defect-detection | nan |
| computer vision | image, video | detection | image-manipulation-detection | image-manipulation-detection | nan |
| computer vision | image, video | detection | image / video detection | fine-grained-action-detection | nan |
| computer vision | image, video | autonomous vehicle | autonomous car detection | visual-object-tracking | nan |
| computer vision | image, video | autonomous vehicle | autonomous car detection | visual-tracking | nan |
| computer vision | image, video | autonomous vehicle | autonomous car detection | object-tracking | nan |
| computer vision | image, video | autonomous vehicle | autonomous car detection | pedestrian-detection | nan |
| computer vision | image, video | autonomous vehicle | autonomous car detection | pedestrian-attribute-recognition | nan |
| computer vision | image, video | autonomous vehicle | autonomous car detection | autonomous-navigation | nan |
| computer vision | image, video | autonomous vehicle | autonomous car recognition | dynaslam-tracking-mapping-and-inpainting-in | orb-slam2 |
| computer vision | image, video | autonomous vehicle | autonomous car adversarial | shapeshifter-robust-physical-adversarial | roi-pooling |
| computer vision | image, video | autonomous vehicle | autonomous car adversarial | shapeshifter-robust-physical-adversarial | softmax |
| computer vision | image, video | autonomous vehicle | autonomous car adversarial | shapeshifter-robust-physical-adversarial | convolution |
| computer vision | image, video | autonomous vehicle | autonomous car adversarial | shapeshifter-robust-physical-adversarial | faster-r-cnn |
| computer vision | image, video | autonomous vehicle | autonomous car adversarial | shapeshifter-robust-physical-adversarial | rpn |
| computer vision | image, video | autonomous vehicle | autonomous car generation | joint-3d-proposal-generation-and-object | rpn |
| computer vision | image, video | autonomous vehicle | autonomous car detection | focal-loss-in-3d-object-detection | focal-loss |
| computer vision | image, video | conversion | image conversion | image-to-image-translation | nan |
| computer vision | image, video | conversion | image conversion | cross-view-image-to-image-translation | nan |
| computer vision | image, video | conversion | image conversion | style-transfer | nan |
| computer vision | image, video | classification | image classification | weakly supervised classification | nan |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | resnet |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | rpn |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | average-pooling |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | global-average-pooling |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | roi-pooling |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | faster-r-cnn |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | sniper |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | residual-connection |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | convolution |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | residual-block |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | softmax |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | max-pooling |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | weight-decay |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | 1x1-convolution |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | relu |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | he-initialization |
| computer vision | image, video | detection | object-detection | sniper-efficient-multi-scale-training | batch-normalization |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | mask-r-cnn |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | ssd |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | rpn |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | roi-pooling |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | roi-align |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | convolution |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | softmax |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | faster-r-cnn |
| computer vision | image, video | detection | object-detection | optimizing-the-trade-off-between-single-stage | 1x1-convolution |
| computer vision | image, video | detection | object-detection | dynaslam-tracking-mapping-and-inpainting-in | orb-slam2 |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | global-average-pooling |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | softmax |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | convolution |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | max-pooling |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | 1x1-convolution |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | fire-module |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | relu |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | dropout |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | xavier-initialization |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | residual-connection |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | squeezenet |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | ssd |
| computer vision | image, video | detection | object-detection | fire-ssd-wide-fire-modules-based-single-shot | average-pooling |
| computer vision | image, video | detection | object-detection | group-normalization | roi-align |
| computer vision | image, video | detection | object-detection | group-normalization | convolution |
| computer vision | image, video | detection | object-detection | group-normalization | softmax |
| computer vision | image, video | detection | object-detection | group-normalization | residual-block |
| computer vision | image, video | detection | object-detection | group-normalization | max-pooling |
| computer vision | image, video | detection | object-detection | group-normalization | focal-loss |
| computer vision | image, video | detection | object-detection | group-normalization | group-normalization |
| computer vision | image, video | detection | object-detection | group-normalization | 1x1-convolution |
| computer vision | image, video | detection | object-detection | group-normalization | relu |
| computer vision | image, video | detection | object-detection | group-normalization | retinanet |
| computer vision | image, video | detection | object-detection | group-normalization | he-initialization |
| computer vision | image, video | detection | object-detection | group-normalization | batch-normalization |
| computer vision | image, video | detection | object-detection | group-normalization | mask-r-cnn |
| computer vision | image, video | detection | object-detection | group-normalization | fpn |
| computer vision | image, video | detection | object-detection | group-normalization | resnet |
| computer vision | image, video | detection | object-detection | group-normalization | average-pooling |
| computer vision | image, video | detection | object-detection | group-normalization | global-average-pooling |
| computer vision | image, video | detection | object-detection | group-normalization | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | group-normalization | residual-connection |
| computer vision | image, video | detection | object-detection | patchfcn-for-intracranial-hemorrhage | convolution |
| computer vision | image, video | detection | object-detection | patchfcn-for-intracranial-hemorrhage | fcn |
| computer vision | image, video | detection | object-detection | patchfcn-for-intracranial-hemorrhage | max-pooling |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | yolov2 |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | rpn |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | average-pooling |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | global-average-pooling |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | roi-pooling |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | convolution |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | softmax |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | faster-r-cnn |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | max-pooling |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | darknet-19 |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | 1x1-convolution |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | fast-r-cnn |
| computer vision | image, video | detection | object-detection | model-based-active-learning-to-detect | batch-normalization |
| computer vision | image, video | detection | object-detection | sbnet-sparse-blocks-network-for-fast | convolution |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | rpn |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | dense-connections |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | roi-pooling |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | convolution |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | softmax |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | vgg |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | max-pooling |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | relu |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | r-fcn |
| computer vision | image, video | detection | object-detection | quantization-mimic-towards-very-tiny-cnn-for | dropout |
| computer vision | image, video | detection | object-detection | the-eurocity-persons-dataset-a-novel | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | the-eurocity-persons-dataset-a-novel | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | the-eurocity-persons-dataset-a-novel | convolution |
| computer vision | image, video | detection | object-detection | the-eurocity-persons-dataset-a-novel | ssd |
| computer vision | image, video | detection | object-detection | the-eurocity-persons-dataset-a-novel | 1x1-convolution |
| computer vision | image, video | detection | object-detection | the-eurocity-persons-dataset-a-novel | r-fcn |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | average-pooling |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | pointwise-convolution |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | convolution |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | depthwise-separable-convolution |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | mobilenetv2 |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | 1x1-convolution |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | depthwise-convolution |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | inverted-residual-block |
| computer vision | image, video | detection | object-detection | igcv3-interleaved-low-rank-group-convolutions | batch-normalization |
| computer vision | image, video | detection | object-detection | how-convolutional-neural-network-see-the | network-dissection |
| computer vision | image, video | detection | object-detection | adversarial-attacks-on-face-detectors-using | roi-pooling |
| computer vision | image, video | detection | object-detection | adversarial-attacks-on-face-detectors-using | convolution |
| computer vision | image, video | detection | object-detection | adversarial-attacks-on-face-detectors-using | softmax |
| computer vision | image, video | detection | object-detection | adversarial-attacks-on-face-detectors-using | faster-r-cnn |
| computer vision | image, video | detection | object-detection | adversarial-attacks-on-face-detectors-using | rpn |
| computer vision | image, video | detection | object-detection | asynchronous-convolutional-networks-for | max-pooling |
| computer vision | image, video | detection | object-detection | deep-perm-set-net-learn-to-predict-sets-with | roi-pooling |
| computer vision | image, video | detection | object-detection | deep-perm-set-net-learn-to-predict-sets-with | convolution |
| computer vision | image, video | detection | object-detection | deep-perm-set-net-learn-to-predict-sets-with | softmax |
| computer vision | image, video | detection | object-detection | deep-perm-set-net-learn-to-predict-sets-with | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deep-perm-set-net-learn-to-predict-sets-with | rpn |
| computer vision | image, video | detection | object-detection | alphax-exploring-neural-architectures-with | random-search |
| computer vision | image, video | detection | object-detection | fssd-feature-fusion-single-shot-multibox | convolution |
| computer vision | image, video | detection | object-detection | fssd-feature-fusion-single-shot-multibox | ssd |
| computer vision | image, video | detection | object-detection | fssd-feature-fusion-single-shot-multibox | 1x1-convolution |
| computer vision | image, video | detection | object-detection | fssd-feature-fusion-single-shot-multibox | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | global-average-pooling |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | residual-block |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | convolution |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | max-pooling |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | 1x1-convolution |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | relu |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | he-initialization |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | batch-normalization |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | residual-connection |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | resnet |
| computer vision | image, video | detection | object-detection | resnet-sparsifier-learning-strict-identity | average-pooling |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | relu |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | dense-connections |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | dropout |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | convolution |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | softmax |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | vgg |
| computer vision | image, video | detection | object-detection | object-detection-at-200-frames-per-second | max-pooling |
| computer vision | image, video | detection | object-detection | learning-rich-features-for-image-manipulation | roi-pooling |
| computer vision | image, video | detection | object-detection | learning-rich-features-for-image-manipulation | convolution |
| computer vision | image, video | detection | object-detection | learning-rich-features-for-image-manipulation | softmax |
| computer vision | image, video | detection | object-detection | learning-rich-features-for-image-manipulation | faster-r-cnn |
| computer vision | image, video | detection | object-detection | learning-rich-features-for-image-manipulation | rpn |
| computer vision | image, video | detection | object-detection | detecting-traffic-lights-by-single-shot | convolution |
| computer vision | image, video | detection | object-detection | detecting-traffic-lights-by-single-shot | ssd |
| computer vision | image, video | detection | object-detection | detecting-traffic-lights-by-single-shot | 1x1-convolution |
| computer vision | image, video | detection | object-detection | detecting-traffic-lights-by-single-shot | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | global-average-pooling |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | softmax |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | convolution |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | max-pooling |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | 1x1-convolution |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | fire-module |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | relu |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | dropout |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | xavier-initialization |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | residual-connection |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | squeezenet |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | dcnn |
| computer vision | image, video | detection | object-detection | squeezejet-high-level-synthesis-accelerator | average-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | resnet |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | k-nn |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | rpn |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | average-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | dense-connections |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | alexnet |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | global-average-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | roi-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | vgg |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | faster-r-cnn |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | svm |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | grouped-convolution |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | fast-r-cnn |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | residual-connection |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | nt-xent |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | convolution |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | residual-block |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | softmax |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | local-response-normalization |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | max-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | 1x1-convolution |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | relu |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | he-initialization |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | dropout |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non | batch-normalization |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | average-pooling |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | global-average-pooling |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | convolution |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | 1x1-convolution |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | resnext |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | relu |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | resnext-block |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | he-initialization |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | grouped-convolution |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | batch-normalization |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | randomresizedcrop |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | exploring-the-limits-of-weakly-supervised | residual-connection |
| computer vision | image, video | detection | object-detection | algorithms-for-semantic-segmentation-of | dcnn |
| computer vision | image, video | detection | object-detection | dsod-learning-deeply-supervised-object | convolution |
| computer vision | image, video | detection | object-detection | dsod-learning-deeply-supervised-object | ssd |
| computer vision | image, video | detection | object-detection | dsod-learning-deeply-supervised-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | dsod-learning-deeply-supervised-object | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | temporally-identity-aware-ssd-with | tanh-activation |
| computer vision | image, video | detection | object-detection | temporally-identity-aware-ssd-with | convolution |
| computer vision | image, video | detection | object-detection | temporally-identity-aware-ssd-with | sigmoid-activation |
| computer vision | image, video | detection | object-detection | temporally-identity-aware-ssd-with | convlstm |
| computer vision | image, video | detection | object-detection | temporally-identity-aware-ssd-with | temporal-attention |
| computer vision | image, video | detection | object-detection | applying-faster-r-cnn-for-object-detection-on | roi-pooling |
| computer vision | image, video | detection | object-detection | applying-faster-r-cnn-for-object-detection-on | convolution |
| computer vision | image, video | detection | object-detection | applying-faster-r-cnn-for-object-detection-on | softmax |
| computer vision | image, video | detection | object-detection | applying-faster-r-cnn-for-object-detection-on | faster-r-cnn |
| computer vision | image, video | detection | object-detection | applying-faster-r-cnn-for-object-detection-on | rpn |
| computer vision | image, video | detection | object-detection | smart-surveillance-as-an-edge-network-service | convolution |
| computer vision | image, video | detection | object-detection | smart-surveillance-as-an-edge-network-service | svm |
| computer vision | image, video | detection | object-detection | deep-cross-domain-building-extraction-for | roi-pooling |
| computer vision | image, video | detection | object-detection | deep-cross-domain-building-extraction-for | convolution |
| computer vision | image, video | detection | object-detection | deep-cross-domain-building-extraction-for | softmax |
| computer vision | image, video | detection | object-detection | deep-cross-domain-building-extraction-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deep-cross-domain-building-extraction-for | rpn |
| computer vision | image, video | detection | object-detection | rethinking-the-faster-r-cnn-architecture-for | roi-pooling |
| computer vision | image, video | detection | object-detection | rethinking-the-faster-r-cnn-architecture-for | convolution |
| computer vision | image, video | detection | object-detection | rethinking-the-faster-r-cnn-architecture-for | softmax |
| computer vision | image, video | detection | object-detection | rethinking-the-faster-r-cnn-architecture-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | rethinking-the-faster-r-cnn-architecture-for | rpn |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | roi-align |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | convolution |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | softmax |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | weight-decay |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | relu |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | step-decay |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | batch-normalization |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | fpn |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | dilated-convolution |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | dilated-bottleneck-with-projection-block |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | average-pooling |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | rpn |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | global-average-pooling |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | dilated-bottleneck-block |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | roi-pooling |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | faster-r-cnn |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | residual-connection |
| computer vision | image, video | detection | object-detection | detnet-a-backbone-network-for-object | detnet |
| computer vision | image, video | detection | object-detection | dropout-sampling-for-robust-object-detection | dropout |
| computer vision | image, video | detection | object-detection | weakly-supervised-object-discovery-by | gan |
| computer vision | image, video | detection | object-detection | weakly-supervised-object-discovery-by | convolution |
| computer vision | image, video | detection | object-detection | towards-high-performance-video-object | gru |
| computer vision | image, video | detection | object-detection | shapeshifter-robust-physical-adversarial | roi-pooling |
| computer vision | image, video | detection | object-detection | shapeshifter-robust-physical-adversarial | softmax |
| computer vision | image, video | detection | object-detection | shapeshifter-robust-physical-adversarial | convolution |
| computer vision | image, video | detection | object-detection | shapeshifter-robust-physical-adversarial | faster-r-cnn |
| computer vision | image, video | detection | object-detection | shapeshifter-robust-physical-adversarial | rpn |
| computer vision | image, video | detection | object-detection | hyperfusion-net-densely-reflective-fusion-for | hierarchical-feature-fusion |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | convolution |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | residual-block |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | max-pooling |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | non-local-operation |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | embedded-dot-product-affinity |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | weight-decay |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | 1x1-convolution |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | resnext |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | relu |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | he-initialization |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | concatenation-affinity |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | batch-normalization |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | resnet |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | embedded-gaussian-affinity |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | average-pooling |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | global-average-pooling |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | resnext-block |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | grouped-convolution |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | residual-connection |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | non-local-neural-networks | non-local-block |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | 1x1-convolution |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | retinanet |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | batch-normalization |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | mask-r-cnn |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | fpn |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | roi-align |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | convolution |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | softmax |
| computer vision | image, video | detection | object-detection | megdet-a-large-mini-batch-object-detector | focal-loss |
| computer vision | image, video | detection | object-detection | deblurgan-blind-motion-deblurring-using | gan |
| computer vision | image, video | detection | object-detection | deblurgan-blind-motion-deblurring-using | convolution |
| computer vision | image, video | detection | object-detection | exploring-multi-branch-and-high-level | convolution |
| computer vision | image, video | detection | object-detection | exploring-multi-branch-and-high-level | dilated-convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | deeplabv3 |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | dilated-convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | relu6 |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | average-pooling |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | rmsprop |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | depthwise-separable-convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | aspp |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | depthwise-convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | residual-connection |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | pointwise-convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | residual-block |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | weight-decay |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | mobilenetv2 |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | 1x1-convolution |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | relu |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | spatial-pyramid-pooling |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | inverted-residual-block |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | dropout |
| computer vision | image, video | detection | object-detection | mobilenetv2-inverted-residuals-and-linear | batch-normalization |
| computer vision | image, video | detection | object-detection | regional-priority-based-anomaly-detection | autoencoder |
| computer vision | image, video | detection | object-detection | multi-scale-location-aware-kernel | roi-pooling |
| computer vision | image, video | detection | object-detection | multi-scale-location-aware-kernel | convolution |
| computer vision | image, video | detection | object-detection | multi-scale-location-aware-kernel | softmax |
| computer vision | image, video | detection | object-detection | multi-scale-location-aware-kernel | faster-r-cnn |
| computer vision | image, video | detection | object-detection | multi-scale-location-aware-kernel | rpn |
| computer vision | image, video | detection | object-detection | contrast-oriented-deep-neural-networks-for | crf |
| computer vision | image, video | detection | object-detection | deep-learning-object-detection-methods-for | roi-pooling |
| computer vision | image, video | detection | object-detection | deep-learning-object-detection-methods-for | convolution |
| computer vision | image, video | detection | object-detection | deep-learning-object-detection-methods-for | softmax |
| computer vision | image, video | detection | object-detection | deep-learning-object-detection-methods-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deep-learning-object-detection-methods-for | rpn |
| computer vision | image, video | detection | object-detection | pose2seg-detection-free-human-instance | roi-align |
| computer vision | image, video | detection | object-detection | pose2seg-detection-free-human-instance | convolution |
| computer vision | image, video | detection | object-detection | pose2seg-detection-free-human-instance | softmax |
| computer vision | image, video | detection | object-detection | deep-regionlets-for-object-detection | mask-r-cnn |
| computer vision | image, video | detection | object-detection | deep-regionlets-for-object-detection | roi-align |
| computer vision | image, video | detection | object-detection | deep-regionlets-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | deep-regionlets-for-object-detection | softmax |
| computer vision | image, video | detection | object-detection | context-aware-single-shot-detector | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | context-aware-single-shot-detector | convolution |
| computer vision | image, video | detection | object-detection | context-aware-single-shot-detector | dilated-convolution |
| computer vision | image, video | detection | object-detection | context-aware-single-shot-detector | ssd |
| computer vision | image, video | detection | object-detection | context-aware-single-shot-detector | 1x1-convolution |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | yolov2 |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | average-pooling |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | dense-connections |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | alexnet |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | global-average-pooling |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | darknet-19 |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | grouped-convolution |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | vgg-16 |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | softmax |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | local-response-normalization |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | convolution |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | max-pooling |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | 1x1-convolution |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | relu |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | dropout |
| computer vision | image, video | detection | object-detection | iterative-low-rank-approximation-for-cnn | batch-normalization |
| computer vision | image, video | detection | object-detection | zero-shot-detection | yolov2 |
| computer vision | image, video | detection | object-detection | zero-shot-detection | average-pooling |
| computer vision | image, video | detection | object-detection | zero-shot-detection | global-average-pooling |
| computer vision | image, video | detection | object-detection | zero-shot-detection | convolution |
| computer vision | image, video | detection | object-detection | zero-shot-detection | softmax |
| computer vision | image, video | detection | object-detection | zero-shot-detection | max-pooling |
| computer vision | image, video | detection | object-detection | zero-shot-detection | darknet-19 |
| computer vision | image, video | detection | object-detection | zero-shot-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | zero-shot-detection | batch-normalization |
| computer vision | image, video | detection | object-detection | weakly-supervised-object-localization-on | convolution |
| computer vision | image, video | detection | object-detection | weakly-supervised-object-localization-on | fcn |
| computer vision | image, video | detection | object-detection | weakly-supervised-object-localization-on | max-pooling |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | yolov2 |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | average-pooling |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | global-average-pooling |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | convolution |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | softmax |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | max-pooling |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | darknet-19 |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | 1x1-convolution |
| computer vision | image, video | detection | object-detection | complex-yolo-real-time-3d-object-detection-on | batch-normalization |
| computer vision | image, video | detection | object-detection | deeply-supervised-salient-object-detection | convolution |
| computer vision | image, video | detection | object-detection | deeply-supervised-salient-object-detection | fcn |
| computer vision | image, video | detection | object-detection | deeply-supervised-salient-object-detection | max-pooling |
| computer vision | image, video | detection | object-detection | domain-adaptive-faster-r-cnn-for-object | roi-pooling |
| computer vision | image, video | detection | object-detection | domain-adaptive-faster-r-cnn-for-object | convolution |
| computer vision | image, video | detection | object-detection | domain-adaptive-faster-r-cnn-for-object | softmax |
| computer vision | image, video | detection | object-detection | domain-adaptive-faster-r-cnn-for-object | faster-r-cnn |
| computer vision | image, video | detection | object-detection | domain-adaptive-faster-r-cnn-for-object | rpn |
| computer vision | image, video | detection | object-detection | joint-3d-proposal-generation-and-object | rpn |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | ssd |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | rpn |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | roi-pooling |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | convolution |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | softmax |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | faster-r-cnn |
| computer vision | image, video | detection | object-detection | cnn-based-automatic-urinary-particles | 1x1-convolution |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | resnext-block |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | grouped-convolution |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | residual-connection |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | adaptive-feature-pooling |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | bottom-up-path-augmentation |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | roi-align |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | convolution |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | residual-block |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | max-pooling |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | weight-decay |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | 1x1-convolution |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | resnext |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | relu |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | panet |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | he-initialization |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | batch-normalization |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | fpn |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | resnet |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | pafpn |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | average-pooling |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | rpn |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | dense-connections |
| computer vision | image, video | detection | object-detection | path-aggregation-network-for-instance | global-average-pooling |
| computer vision | image, video | detection | object-detection | lstd-a-low-shot-transfer-detector-for-object | convolution |
| computer vision | image, video | detection | object-detection | lstd-a-low-shot-transfer-detector-for-object | ssd |
| computer vision | image, video | detection | object-detection | lstd-a-low-shot-transfer-detector-for-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | lstd-a-low-shot-transfer-detector-for-object | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | focal-loss-dense-detector-for-vehicle | fpn |
| computer vision | image, video | detection | object-detection | focal-loss-dense-detector-for-vehicle | convolution |
| computer vision | image, video | detection | object-detection | focal-loss-dense-detector-for-vehicle | focal-loss |
| computer vision | image, video | detection | object-detection | focal-loss-dense-detector-for-vehicle | 1x1-convolution |
| computer vision | image, video | detection | object-detection | focal-loss-dense-detector-for-vehicle | retinanet |
| computer vision | image, video | detection | object-detection | deep-6dpose-recovering-6d-object-pose-from-a | mask-r-cnn |
| computer vision | image, video | detection | object-detection | deep-6dpose-recovering-6d-object-pose-from-a | roi-align |
| computer vision | image, video | detection | object-detection | deep-6dpose-recovering-6d-object-pose-from-a | convolution |
| computer vision | image, video | detection | object-detection | deep-6dpose-recovering-6d-object-pose-from-a | softmax |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | resnet |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | average-pooling |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | dense-connections |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | alexnet |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | global-average-pooling |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | grouped-convolution |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | residual-connection |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | bottleneck-residual-block |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | softmax |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | local-response-normalization |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | residual-block |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | convolution |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | max-pooling |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | 1x1-convolution |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | relu |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | dropout |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | he-initialization |
| computer vision | image, video | detection | reasoning | recurrent-residual-module-for-fast-inference | batch-normalization |
| computer vision | image, video | detection | object-detection | scale-optimization-for-full-image-cnn-vehicle | roi-pooling |
| computer vision | image, video | detection | object-detection | scale-optimization-for-full-image-cnn-vehicle | convolution |
| computer vision | image, video | detection | object-detection | scale-optimization-for-full-image-cnn-vehicle | softmax |
| computer vision | image, video | detection | object-detection | scale-optimization-for-full-image-cnn-vehicle | faster-r-cnn |
| computer vision | image, video | detection | object-detection | scale-optimization-for-full-image-cnn-vehicle | rpn |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | global-average-pooling |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | softmax |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | convolution |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | max-pooling |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | 1x1-convolution |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | fire-module |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | relu |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | dropout |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | xavier-initialization |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | residual-connection |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | squeezenet |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | ssd |
| computer vision | image, video | detection | object-detection | tiny-ssd-a-tiny-single-shot-detection-deep | average-pooling |
| computer vision | image, video | detection | object-detection | 3d-regression-neural-network-for-the | convolution |
| computer vision | image, video | detection | object-detection | object-detection-with-mask-based-feature | roi-pooling |
| computer vision | image, video | detection | object-detection | object-detection-with-mask-based-feature | convolution |
| computer vision | image, video | detection | object-detection | object-detection-with-mask-based-feature | softmax |
| computer vision | image, video | detection | object-detection | object-detection-with-mask-based-feature | faster-r-cnn |
| computer vision | image, video | detection | object-detection | object-detection-with-mask-based-feature | rpn |
| computer vision | image, video | detection | object-detection | vehicle-detection-in-aerial-images | focal-loss |
| computer vision | image, video | detection | object-detection | saliency-enhanced-robust-visual-tracking | convolution |
| computer vision | image, video | detection | object-detection | recovering-from-random-pruning-on-the | vgg-16 |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | rpn |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | r-fcn |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | roi-pooling |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | convolution |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | softmax |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | sliding-line-point-regression-for-shape | faster-r-cnn |
| computer vision | image, video | detection | object-detection | weakly-supervised-object-detection-with | softmax |
| computer vision | image, video | detection | object-detection | mask-r-cnn | roi-align |
| computer vision | image, video | detection | object-detection | mask-r-cnn | convolution |
| computer vision | image, video | detection | object-detection | mask-r-cnn | softmax |
| computer vision | image, video | detection | object-detection | mask-r-cnn | residual-block |
| computer vision | image, video | detection | object-detection | mask-r-cnn | max-pooling |
| computer vision | image, video | detection | object-detection | mask-r-cnn | 1x1-convolution |
| computer vision | image, video | detection | object-detection | mask-r-cnn | resnext |
| computer vision | image, video | detection | object-detection | mask-r-cnn | relu |
| computer vision | image, video | detection | object-detection | mask-r-cnn | he-initialization |
| computer vision | image, video | detection | object-detection | mask-r-cnn | batch-normalization |
| computer vision | image, video | detection | object-detection | mask-r-cnn | mask-r-cnn |
| computer vision | image, video | detection | object-detection | mask-r-cnn | resnet |
| computer vision | image, video | detection | object-detection | mask-r-cnn | average-pooling |
| computer vision | image, video | detection | object-detection | mask-r-cnn | global-average-pooling |
| computer vision | image, video | detection | object-detection | mask-r-cnn | resnext-block |
| computer vision | image, video | detection | object-detection | mask-r-cnn | grouped-convolution |
| computer vision | image, video | detection | object-detection | mask-r-cnn | residual-connection |
| computer vision | image, video | detection | object-detection | mask-r-cnn | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | extend-the-shallow-part-of-single-shot | convolution |
| computer vision | image, video | detection | object-detection | extend-the-shallow-part-of-single-shot | ssd |
| computer vision | image, video | detection | object-detection | extend-the-shallow-part-of-single-shot | 1x1-convolution |
| computer vision | image, video | detection | object-detection | extend-the-shallow-part-of-single-shot | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | yolov2 |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | average-pooling |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | dense-connections |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | alexnet |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | global-average-pooling |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | darknet-19 |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | grouped-convolution |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | softmax |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | local-response-normalization |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | convolution |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | max-pooling |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | 1x1-convolution |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | relu |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | dropout |
| computer vision | image, video | detection | object-detection | stressednets-efficient-feature | batch-normalization |
| computer vision | image, video | detection | object-detection | an-accurate-and-real-time-self-blast-glass | fast-r-cnn |
| computer vision | image, video | detection | object-detection | an-accurate-and-real-time-self-blast-glass | roi-pooling |
| computer vision | image, video | detection | object-detection | an-accurate-and-real-time-self-blast-glass | softmax |
| computer vision | image, video | detection | object-detection | an-accurate-and-real-time-self-blast-glass | convolution |
| computer vision | image, video | detection | object-detection | msdnn-multi-scale-deep-neural-network-for | convolution |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | resnet |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | average-pooling |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | dense-connections |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | global-average-pooling |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | vgg |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | residual-connection |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | convolution |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | residual-block |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | softmax |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | max-pooling |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | 1x1-convolution |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | relu |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | he-initialization |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | dropout |
| computer vision | image, video | detection | object-detection | single-shot-refinement-neural-network-for | batch-normalization |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | yolov2 |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | average-pooling |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | global-average-pooling |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | convolution |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | softmax |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | max-pooling |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | darknet-19 |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | 1x1-convolution |
| computer vision | image, video | detection | object-detection | automated-flow-for-compressing-convolution | batch-normalization |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | global-average-pooling |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | convolution |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | residual-block |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | max-pooling |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | 1x1-convolution |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | relu |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | he-initialization |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | batch-normalization |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | residual-connection |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | resnet |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | dilated-convolution |
| computer vision | image, video | detection | object-detection | masklab-instance-segmentation-by-refining | average-pooling |
| computer vision | image, video | detection | object-detection | symbol-detection-in-online-handwritten | roi-pooling |
| computer vision | image, video | detection | object-detection | symbol-detection-in-online-handwritten | convolution |
| computer vision | image, video | detection | object-detection | symbol-detection-in-online-handwritten | softmax |
| computer vision | image, video | detection | object-detection | symbol-detection-in-online-handwritten | faster-r-cnn |
| computer vision | image, video | detection | object-detection | symbol-detection-in-online-handwritten | rpn |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | fpn |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | mask-r-cnn |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | rpn |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | roi-pooling |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | roi-align |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | convolution |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | softmax |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | faster-r-cnn |
| computer vision | image, video | detection | object-detection | data-distillation-towards-omni-supervised | 1x1-convolution |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | dense-connections |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | alexnet |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | softmax |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | local-response-normalization |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | convolution |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | max-pooling |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | 1x1-convolution |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | relu |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | dropout |
| computer vision | image, video | detection | object-detection | compiling-deep-learning-models-for-custom | grouped-convolution |
| computer vision | image, video | detection | object-detection | weaving-multi-scale-context-for-single-shot | convolution |
| computer vision | image, video | detection | object-detection | weaving-multi-scale-context-for-single-shot | ssd |
| computer vision | image, video | detection | object-detection | weaving-multi-scale-context-for-single-shot | 1x1-convolution |
| computer vision | image, video | detection | object-detection | weaving-multi-scale-context-for-single-shot | batch-normalization |
| computer vision | image, video | detection | object-detection | weaving-multi-scale-context-for-single-shot | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | average-pooling |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | rpn |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | dense-connections |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | alexnet |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | global-average-pooling |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | roi-pooling |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | channel-shuffle |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | faster-r-cnn |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | residual-connection |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | pointwise-convolution |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | softmax |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | local-response-normalization |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | shufflenet-block |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | weight-decay |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | 1x1-convolution |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | dropout |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | randomresizedcrop |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | depthwise-convolution |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | grouped-convolution |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | convolution |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | shufflenet |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | max-pooling |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | relu |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | step-decay |
| computer vision | image, video | detection | object-detection | shufflenet-an-extremely-efficient | batch-normalization |
| computer vision | image, video | detection | object-detection | deep-generative-adversarial-compression | gan |
| computer vision | image, video | detection | object-detection | deep-generative-adversarial-compression | convolution |
| computer vision | image, video | detection | object-detection | clusternet-detecting-small-objects-in-large | roi-pooling |
| computer vision | image, video | detection | object-detection | clusternet-detecting-small-objects-in-large | convolution |
| computer vision | image, video | detection | object-detection | clusternet-detecting-small-objects-in-large | softmax |
| computer vision | image, video | detection | object-detection | clusternet-detecting-small-objects-in-large | faster-r-cnn |
| computer vision | image, video | detection | object-detection | clusternet-detecting-small-objects-in-large | rpn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | convolution |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | residual-block |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | max-pooling |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | group-normalization |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | resnext |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | relu |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | r-fcn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | he-initialization |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | batch-normalization |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | fpn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | rpn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | average-pooling |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | dense-connections |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | global-average-pooling |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | roi-pooling |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | faster-r-cnn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | residual-connection |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | roi-align |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | softmax |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | cascade-r-cnn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | 1x1-convolution |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | dropout |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | resnet |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | vgg |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | cascade-mask-r-cnn |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | resnext-block |
| computer vision | image, video | detection | object-detection | cascade-r-cnn-delving-into-high-quality | grouped-convolution |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | dense-connections |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | alexnet |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | convolution |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | softmax |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | local-response-normalization |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | max-pooling |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | svm |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | 1x1-convolution |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | relu |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | dropout |
| computer vision | image, video | detection | object-detection | automatic-recognition-of-coal-and-gangue | grouped-convolution |
| computer vision | image, video | detection | object-detection | me-r-cnn-multi-expert-r-cnn-for-object | selective-search |
| computer vision | image, video | detection | object-detection | sparse-coding-on-stereo-video-for-object | dcnn |
| computer vision | image, video | detection | object-detection | multi-channel-cnn-based-object-detection-for | fast-r-cnn |
| computer vision | image, video | detection | object-detection | multi-channel-cnn-based-object-detection-for | roi-pooling |
| computer vision | image, video | detection | object-detection | multi-channel-cnn-based-object-detection-for | convolution |
| computer vision | image, video | detection | object-detection | multi-channel-cnn-based-object-detection-for | softmax |
| computer vision | image, video | detection | object-detection | discriminative-learning-of-open-vocabulary | roi-pooling |
| computer vision | image, video | detection | object-detection | discriminative-learning-of-open-vocabulary | convolution |
| computer vision | image, video | detection | object-detection | discriminative-learning-of-open-vocabulary | softmax |
| computer vision | image, video | detection | object-detection | discriminative-learning-of-open-vocabulary | faster-r-cnn |
| computer vision | image, video | detection | object-detection | discriminative-learning-of-open-vocabulary | rpn |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | googlenet |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | average-pooling |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | dense-connections |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | inception-module |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | softmax |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | local-response-normalization |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | convolution |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | max-pooling |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | relu |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | dropout |
| computer vision | image, video | detection | object-detection | feature-selective-networks-for-object | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | random-erasing-data-augmentation | random-erasing |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | global-average-pooling |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | convolution |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | residual-block |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | max-pooling |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | 1x1-convolution |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | relu |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | he-initialization |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | batch-normalization |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | residual-connection |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | resnet |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | knowledge-distillation |
| computer vision | image, video | detection | object-detection | apprentice-using-knowledge-distillation | average-pooling |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | sigmoid-activation |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | squeeze-and-excitation-block |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | roi-align |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | convolution |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | residual-block |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | softmax |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | max-pooling |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | 1x1-convolution |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | resnext |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | relu |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | dense-block |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | he-initialization |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | dropout |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | batch-normalization |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | mask-r-cnn |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | resnet |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | average-pooling |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | dense-connections |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | global-average-pooling |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | senet |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | concatenated-skip-connection |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | densenet |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | resnext-block |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | grouped-convolution |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | residual-connection |
| computer vision | image, video | detection | object-detection | learning-deep-compositional-grammatical | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | segnet |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | relu |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | he-initialization |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | batch-normalization |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | softmax |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | convolution |
| computer vision | image, video | detection | object-detection | squeeze-segnet-a-new-fast-deep-convolutional | max-pooling |
| computer vision | image, video | detection | object-detection | towards-interpretable-r-cnn-by-unfolding | convolution |
| computer vision | image, video | detection | object-detection | towards-interpretable-r-cnn-by-unfolding | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | towards-interpretable-r-cnn-by-unfolding | r-fcn |
| computer vision | image, video | detection | object-detection | detecting-and-classifying-lesions-in | roi-pooling |
| computer vision | image, video | detection | object-detection | detecting-and-classifying-lesions-in | softmax |
| computer vision | image, video | detection | object-detection | detecting-and-classifying-lesions-in | convolution |
| computer vision | image, video | detection | object-detection | detecting-and-classifying-lesions-in | faster-r-cnn |
| computer vision | image, video | detection | object-detection | detecting-and-classifying-lesions-in | rpn |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | dense-connections |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | label-smoothing |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | transformer |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | multi-head-attention |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | residual-connection |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | layer-normalization |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | scaled |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | spatial-transformer |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | softmax |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | position-wise-feed-forward-layer |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | adam |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | relu |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | absolute-position-encodings |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | dropout |
| computer vision | image, video | detection | object-detection | image-patch-matching-using-convolutional | bpe |
| computer vision | image, video | detection | object-detection | feature-fused-ssd-fast-detection-for-small | convolution |
| computer vision | image, video | detection | object-detection | feature-fused-ssd-fast-detection-for-small | ssd |
| computer vision | image, video | detection | object-detection | feature-fused-ssd-fast-detection-for-small | 1x1-convolution |
| computer vision | image, video | detection | object-detection | feature-fused-ssd-fast-detection-for-small | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | edge-preserving-and-multi-scale-contextual | fast-r-cnn |
| computer vision | image, video | detection | object-detection | edge-preserving-and-multi-scale-contextual | roi-pooling |
| computer vision | image, video | detection | object-detection | edge-preserving-and-multi-scale-contextual | convolution |
| computer vision | image, video | detection | object-detection | edge-preserving-and-multi-scale-contextual | softmax |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | yolov2 |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | average-pooling |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | global-average-pooling |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | convolution |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | softmax |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | max-pooling |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | darknet-19 |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | 1x1-convolution |
| computer vision | image, video | detection | object-detection | fast-yolo-a-fast-you-only-look-once-system | batch-normalization |
| computer vision | image, video | detection | object-detection | object-detection-using-deep-cnns-trained-on | early-stopping |
| computer vision | image, video | detection | object-detection | deep-fruit-detection-in-orchards | roi-pooling |
| computer vision | image, video | detection | object-detection | deep-fruit-detection-in-orchards | convolution |
| computer vision | image, video | detection | object-detection | deep-fruit-detection-in-orchards | softmax |
| computer vision | image, video | detection | object-detection | deep-fruit-detection-in-orchards | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deep-fruit-detection-in-orchards | rpn |
| computer vision | image, video | detection | object-detection | gaussian-filter-in-crf-based-semantic | convolution |
| computer vision | image, video | detection | object-detection | gaussian-filter-in-crf-based-semantic | fcn |
| computer vision | image, video | detection | object-detection | gaussian-filter-in-crf-based-semantic | max-pooling |
| computer vision | image, video | detection | object-detection | gaussian-filter-in-crf-based-semantic | crf |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | 1x1-convolution |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | relu |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | he-initialization |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | batch-normalization |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | fpn |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | resnet |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | average-pooling |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | rpn |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | global-average-pooling |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | roi-pooling |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | faster-r-cnn |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | residual-connection |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | ssd |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | convolution |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | residual-block |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | softmax |
| computer vision | image, video | detection | object-detection | chainercv-a-library-for-deep-learning-in | max-pooling |
| computer vision | image, video | detection | object-detection | multiple-kernel-based-vehicle-tracking-using | convolution |
| computer vision | image, video | detection | object-detection | multiple-kernel-based-vehicle-tracking-using | ssd |
| computer vision | image, video | detection | object-detection | multiple-kernel-based-vehicle-tracking-using | 1x1-convolution |
| computer vision | image, video | detection | object-detection | multiple-kernel-based-vehicle-tracking-using | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | s-ohem-stratified-online-hard-example-mining | ohem |
| computer vision | image, video | detection | object-detection | transitive-invariance-for-self-supervised | roi-pooling |
| computer vision | image, video | detection | object-detection | transitive-invariance-for-self-supervised | convolution |
| computer vision | image, video | detection | object-detection | transitive-invariance-for-self-supervised | softmax |
| computer vision | image, video | detection | object-detection | transitive-invariance-for-self-supervised | faster-r-cnn |
| computer vision | image, video | detection | object-detection | transitive-invariance-for-self-supervised | rpn |
| computer vision | image, video | detection | object-detection | deep-steering-learning-end-to-end-driving | tanh-activation |
| computer vision | image, video | detection | object-detection | deep-steering-learning-end-to-end-driving | lstm |
| computer vision | image, video | detection | object-detection | deep-steering-learning-end-to-end-driving | sigmoid-activation |
| computer vision | image, video | detection | object-detection | couplenet-coupling-global-structure-with | convolution |
| computer vision | image, video | detection | object-detection | couplenet-coupling-global-structure-with | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | couplenet-coupling-global-structure-with | r-fcn |
| computer vision | image, video | detection | object-detection | soft-nms-improving-object-detection-with-one | convolution |
| computer vision | image, video | detection | object-detection | soft-nms-improving-object-detection-with-one | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | soft-nms-improving-object-detection-with-one | soft-nms |
| computer vision | image, video | detection | object-detection | soft-nms-improving-object-detection-with-one | r-fcn |
| computer vision | image, video | detection | object-detection | learning-to-segment-on-tiny-datasets-a-new | crf |
| computer vision | image, video | detection | object-detection | learning-uncertain-convolutional-features-for | dropout |
| computer vision | image, video | detection | object-detection | ppr-fcn-weakly-supervised-visual-relation | convolution |
| computer vision | image, video | detection | object-detection | ppr-fcn-weakly-supervised-visual-relation | fcn |
| computer vision | image, video | detection | object-detection | ppr-fcn-weakly-supervised-visual-relation | max-pooling |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | convolution |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | residual-block |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | softmax |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | max-pooling |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | weight-decay |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | 1x1-convolution |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | relu |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | he-initialization |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | xavier-initialization |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | step-decay |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | batch-normalization |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | resnet |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | rpn |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | average-pooling |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | global-average-pooling |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | roi-pooling |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | faster-r-cnn |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | rmsprop |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | revisiting-unreasonable-effectiveness-of-data | residual-connection |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | googlenet |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | average-pooling |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | rpn |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | dense-connections |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | roi-pooling |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | inception-module |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | faster-r-cnn |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | vgg |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | fast-r-cnn |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | convolution |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | softmax |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | local-response-normalization |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | max-pooling |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | 1x1-convolution |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | relu |
| computer vision | image, video | detection | object-detection | t-cnn-tubelets-with-convolutional-neural | dropout |
| computer vision | image, video | detection | object-detection | temporal-dynamic-graph-lstm-for-action-driven | tanh-activation |
| computer vision | image, video | detection | object-detection | temporal-dynamic-graph-lstm-for-action-driven | memory-network |
| computer vision | image, video | detection | object-detection | temporal-dynamic-graph-lstm-for-action-driven | lstm |
| computer vision | image, video | detection | object-detection | temporal-dynamic-graph-lstm-for-action-driven | sigmoid-activation |
| computer vision | image, video | detection | object-detection | tube-convolutional-neural-network-t-cnn-for | convolution |
| computer vision | image, video | detection | object-detection | tube-convolutional-neural-network-t-cnn-for | 3d-convolution |
| computer vision | image, video | detection | object-detection | deep-interactive-region-segmentation-and | convolution |
| computer vision | image, video | detection | object-detection | deep-interactive-region-segmentation-and | fcn |
| computer vision | image, video | detection | object-detection | deep-interactive-region-segmentation-and | max-pooling |
| computer vision | image, video | detection | object-detection | improving-robustness-of-feature | convolution |
| computer vision | image, video | detection | object-detection | an-all-in-one-network-for-dehazing-and-beyond | roi-pooling |
| computer vision | image, video | detection | object-detection | an-all-in-one-network-for-dehazing-and-beyond | convolution |
| computer vision | image, video | detection | object-detection | an-all-in-one-network-for-dehazing-and-beyond | softmax |
| computer vision | image, video | detection | object-detection | an-all-in-one-network-for-dehazing-and-beyond | faster-r-cnn |
| computer vision | image, video | detection | object-detection | an-all-in-one-network-for-dehazing-and-beyond | rpn |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | global-average-pooling |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | residual-block |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | convolution |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | max-pooling |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | 1x1-convolution |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | relu |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | he-initialization |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | batch-normalization |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | residual-connection |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | resnet |
| computer vision | image, video | detection | object-detection | wide-residual-inception-networks-for-real | average-pooling |
| computer vision | image, video | detection | object-detection | learning-semantic-part-based-models-from | r-cnn |
| computer vision | image, video | detection | object-detection | learning-semantic-part-based-models-from | convolution |
| computer vision | image, video | detection | object-detection | learning-semantic-part-based-models-from | max-pooling |
| computer vision | image, video | detection | object-detection | learning-semantic-part-based-models-from | svm |
| computer vision | image, video | detection | object-detection | ron-reverse-connection-with-objectness-prior | roi-pooling |
| computer vision | image, video | detection | object-detection | ron-reverse-connection-with-objectness-prior | vgg-16 |
| computer vision | image, video | detection | object-detection | ron-reverse-connection-with-objectness-prior | convolution |
| computer vision | image, video | detection | object-detection | ron-reverse-connection-with-objectness-prior | softmax |
| computer vision | image, video | detection | object-detection | ron-reverse-connection-with-objectness-prior | faster-r-cnn |
| computer vision | image, video | detection | object-detection | ron-reverse-connection-with-objectness-prior | rpn |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | yolov2 |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | ssd |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | average-pooling |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | global-average-pooling |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | convolution |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | softmax |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | max-pooling |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | darknet-19 |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | 1x1-convolution |
| computer vision | image, video | detection | object-detection | yes-net-an-effective-detector-based-on-global | batch-normalization |
| computer vision | image, video | detection | object-detection | detecting-small-signs-from-large-images | vgg-16 |
| computer vision | image, video | detection | object-detection | perceptual-generative-adversarial-networks | gan |
| computer vision | image, video | detection | object-detection | perceptual-generative-adversarial-networks | convolution |
| computer vision | image, video | detection | object-detection | point-linking-network-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | point-linking-network-for-object-detection | ssd |
| computer vision | image, video | detection | object-detection | point-linking-network-for-object-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | point-linking-network-for-object-detection | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | 1x1-convolution |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | relu |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | he-initialization |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | batch-normalization |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | deformable-roi-pooling |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | resnet |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | average-pooling |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | global-average-pooling |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | deformable-position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | deformable-convolution |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | residual-connection |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | deformable-convnets |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | convolution |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | residual-block |
| computer vision | image, video | detection | object-detection | deformable-convolutional-networks | max-pooling |
| computer vision | image, video | detection | object-detection | face-r-cnn | roi-pooling |
| computer vision | image, video | detection | object-detection | face-r-cnn | convolution |
| computer vision | image, video | detection | object-detection | face-r-cnn | softmax |
| computer vision | image, video | detection | object-detection | face-r-cnn | faster-r-cnn |
| computer vision | image, video | detection | object-detection | face-r-cnn | rpn |
| computer vision | image, video | detection | object-detection | recurrent-soft-attention-model-for-common | tanh-activation |
| computer vision | image, video | detection | object-detection | recurrent-soft-attention-model-for-common | lstm |
| computer vision | image, video | detection | object-detection | recurrent-soft-attention-model-for-common | sigmoid-activation |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | global-average-pooling |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | residual-block |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | convolution |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | max-pooling |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | 1x1-convolution |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | relu |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | he-initialization |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | batch-normalization |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | residual-connection |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | resnet |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | ssd |
| computer vision | image, video | detection | object-detection | enhancement-of-ssd-by-concatenating-feature | average-pooling |
| computer vision | image, video | detection | object-detection | residual-squeeze-vgg16 | convolution |
| computer vision | image, video | detection | object-detection | residual-squeeze-vgg16 | 1x1-convolution |
| computer vision | image, video | detection | object-detection | residual-squeeze-vgg16 | fire-module |
| computer vision | image, video | detection | object-detection | residual-squeeze-vgg16 | relu |
| computer vision | image, video | detection | object-detection | improving-small-object-proposals-for-company | roi-pooling |
| computer vision | image, video | detection | object-detection | improving-small-object-proposals-for-company | convolution |
| computer vision | image, video | detection | object-detection | improving-small-object-proposals-for-company | softmax |
| computer vision | image, video | detection | object-detection | improving-small-object-proposals-for-company | faster-r-cnn |
| computer vision | image, video | detection | object-detection | improving-small-object-proposals-for-company | rpn |
| computer vision | image, video | detection | object-detection | relief-r-cnn-utilizing-convolutional-features | r-cnn |
| computer vision | image, video | detection | object-detection | relief-r-cnn-utilizing-convolutional-features | convolution |
| computer vision | image, video | detection | object-detection | relief-r-cnn-utilizing-convolutional-features | max-pooling |
| computer vision | image, video | detection | object-detection | relief-r-cnn-utilizing-convolutional-features | svm |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | rpn |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | dense-connections |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | roi-pooling |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | faster-r-cnn |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | vgg |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | ssd |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | convolution |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | softmax |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | max-pooling |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | 1x1-convolution |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | r-fcn |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | relu |
| computer vision | image, video | detection | object-detection | speedaccuracy-trade-offs-for-modern | dropout |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | roi-pooling |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | fpn |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | softmax |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | faster-r-cnn |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | feature-pyramid-networks-for-object-detection | rpn |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | rpn |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | dense-connections |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | roi-pooling |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | vgg-16 |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | convolution |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | softmax |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | max-pooling |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | vgg |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | faster-r-cnn |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | relu |
| computer vision | image, video | detection | object-detection | accurate-single-stage-detector-using | dropout |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | average-pooling |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | dense-connections |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | global-average-pooling |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | mobilenetv1 |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | depthwise-separable-convolution |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | depthwise-convolution |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | pointwise-convolution |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | softmax |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | convolution |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | exponential-decay |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | 1x1-convolution |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | relu |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | randomresizedcrop |
| computer vision | image, video | detection | object-detection | mobilenets-efficient-convolutional-neural | batch-normalization |
| computer vision | image, video | detection | object-detection | spatial-memory-for-context-reasoning-in | memory-network |
| computer vision | image, video | detection | object-detection | learning-detection-with-diverse-proposals | roi-pooling |
| computer vision | image, video | detection | object-detection | learning-detection-with-diverse-proposals | convolution |
| computer vision | image, video | detection | object-detection | learning-detection-with-diverse-proposals | softmax |
| computer vision | image, video | detection | object-detection | learning-detection-with-diverse-proposals | faster-r-cnn |
| computer vision | image, video | detection | object-detection | learning-detection-with-diverse-proposals | rpn |
| computer vision | image, video | detection | object-detection | pixelwise-instance-segmentation-with-a | crf |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | dense-connections |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | alexnet |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | softmax |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | local-response-normalization |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | convolution |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | max-pooling |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | 1x1-convolution |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | relu |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | dropout |
| computer vision | image, video | detection | object-detection | evolution-in-groups-a-deeper-look-at-synaptic | grouped-convolution |
| computer vision | image, video | detection | object-detection | cross-view-image-matching-for-geo | roi-pooling |
| computer vision | image, video | detection | object-detection | cross-view-image-matching-for-geo | convolution |
| computer vision | image, video | detection | object-detection | cross-view-image-matching-for-geo | softmax |
| computer vision | image, video | detection | object-detection | cross-view-image-matching-for-geo | faster-r-cnn |
| computer vision | image, video | detection | object-detection | cross-view-image-matching-for-geo | rpn |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | rpn |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | r-fcn |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | roi-pooling |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | convolution |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | softmax |
| computer vision | image, video | detection | object-detection | object-detection-via-aspect-ratio-and-context | faster-r-cnn |
| computer vision | image, video | detection | object-detection | improving-training-of-deep-neural-networks | batch-normalization |
| computer vision | image, video | detection | object-detection | vote3deep-fast-object-detection-in-3d-point | sparse-convolutions |
| computer vision | image, video | detection | object-detection | vote3deep-fast-object-detection-in-3d-point | feature-centric-voting |
| computer vision | image, video | detection | object-detection | vote3deep-fast-object-detection-in-3d-point | relu |
| computer vision | image, video | detection | object-detection | vote3deep-fast-object-detection-in-3d-point | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | vote3deep-fast-object-detection-in-3d-point | l1-regularization |
| computer vision | image, video | detection | object-detection | improving-object-detection-with-region | softmax |
| computer vision | image, video | detection | object-detection | improving-object-detection-with-region | ohem |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | segnet |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | relu |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | he-initialization |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | batch-normalization |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | softmax |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | convolution |
| computer vision | image, video | detection | object-detection | pixel-wise-ear-detection-with-convolutional | max-pooling |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | softmax |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | weight-decay |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | darknet-19 |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | randomresizedcrop |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | colorjitter |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | step-decay |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | polynomial-rate-decay |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | yolov2 |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | fast-yolov2 |
| computer vision | image, video | detection | object-detection | yolo9000-better-faster-stronger | ssd |
| computer vision | image, video | detection | object-detection | action-driven-object-detection-with-top-down | roi-pooling |
| computer vision | image, video | detection | object-detection | action-driven-object-detection-with-top-down | convolution |
| computer vision | image, video | detection | object-detection | action-driven-object-detection-with-top-down | softmax |
| computer vision | image, video | detection | object-detection | action-driven-object-detection-with-top-down | faster-r-cnn |
| computer vision | image, video | detection | object-detection | action-driven-object-detection-with-top-down | rpn |
| computer vision | image, video | detection | object-detection | geometric-deep-learning-on-graphs-and | monet |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | deepmask |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | dense-connections |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | convolution |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | softmax |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | max-pooling |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | vgg |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | weight-decay |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | 1x1-convolution |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | relu |
| computer vision | image, video | detection | object-detection | learning-to-segment-object-candidates-via | dropout |
| computer vision | image, video | detection | object-detection | resfeats-residual-network-based-features-for | pca |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | googlenet |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | average-pooling |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | dense-connections |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | inception-module |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | softmax |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | local-response-normalization |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | convolution |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | max-pooling |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | 1x1-convolution |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | relu |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | dropout |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-of-mid-level | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | backtracking-spatial-pyramid-pooling-spp | svm |
| computer vision | image, video | detection | object-detection | revisiting-batch-normalization-for-practical | batch-normalization |
| computer vision | image, video | detection | object-detection | crafting-gbd-net-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | pvanet-deep-but-lightweight-neural-networks | relu |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | dense-connections |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | alexnet |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | softmax |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | local-response-normalization |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | convolution |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | max-pooling |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | 1x1-convolution |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | relu |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | dropout |
| computer vision | image, video | detection | object-detection | multiview-rgb-d-dataset-for-object-instance | grouped-convolution |
| computer vision | image, video | detection | object-detection | using-filter-banks-in-convolutional-neural | convolution |
| computer vision | image, video | detection | object-detection | on-the-usability-of-deep-networks-for-object | convolution |
| computer vision | image, video | detection | object-detection | on-the-usability-of-deep-networks-for-object | fcn |
| computer vision | image, video | detection | object-detection | on-the-usability-of-deep-networks-for-object | max-pooling |
| computer vision | image, video | detection | object-detection | fully-convolutional-siamese-networks-for-1 | siamese-network |
| computer vision | image, video | detection | object-detection | face-detection-with-end-to-end-integration-of | softmax |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | resnet |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | rpn |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | average-pooling |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | global-average-pooling |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | roi-pooling |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | faster-r-cnn |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | convolution |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | residual-block |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | softmax |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | max-pooling |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | 1x1-convolution |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | relu |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | he-initialization |
| computer vision | image, video | detection | object-detection | object-detection-networks-on-convolutional | batch-normalization |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | selective-search |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | deepmask |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | dense-connections |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | roi-pooling |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | softmax |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | max-pooling |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | vgg |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | relu |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | dropout |
| computer vision | image, video | detection | object-detection | a-multipath-network-for-object-detection | fast-r-cnn |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | dcnn |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | dense-connections |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | alexnet |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | k-means-clustering |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | vgg-16 |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | softmax |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | local-response-normalization |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | convolution |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | max-pooling |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | 1x1-convolution |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | relu |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | dropout |
| computer vision | image, video | detection | object-detection | intra-layer-nonuniform-quantization-for-deep | grouped-convolution |
| computer vision | image, video | detection | object-detection | is-faster-r-cnn-doing-well-for-pedestrian | roi-pooling |
| computer vision | image, video | detection | object-detection | is-faster-r-cnn-doing-well-for-pedestrian | convolution |
| computer vision | image, video | detection | object-detection | is-faster-r-cnn-doing-well-for-pedestrian | softmax |
| computer vision | image, video | detection | object-detection | is-faster-r-cnn-doing-well-for-pedestrian | faster-r-cnn |
| computer vision | image, video | detection | object-detection | is-faster-r-cnn-doing-well-for-pedestrian | rpn |
| computer vision | image, video | detection | object-detection | image-captioning-with-deep-bidirectional | tanh-activation |
| computer vision | image, video | detection | object-detection | image-captioning-with-deep-bidirectional | lstm |
| computer vision | image, video | detection | object-detection | image-captioning-with-deep-bidirectional | sigmoid-activation |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | average-pooling |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | global-average-pooling |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | convolution |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | residual-block |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | max-pooling |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | 1x1-convolution |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | r-fcn |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | relu |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | he-initialization |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | batch-normalization |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | residual-connection |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | r-fcn-object-detection-via-region-based-fully | resnet |
| computer vision | image, video | detection | reasoning | znni-maximizing-the-inference-throughput-of | convolution |
| computer vision | image, video | detection | object-detection | face-detection-with-the-faster-r-cnn | roi-pooling |
| computer vision | image, video | detection | object-detection | face-detection-with-the-faster-r-cnn | convolution |
| computer vision | image, video | detection | object-detection | face-detection-with-the-faster-r-cnn | softmax |
| computer vision | image, video | detection | object-detection | face-detection-with-the-faster-r-cnn | faster-r-cnn |
| computer vision | image, video | detection | object-detection | face-detection-with-the-faster-r-cnn | rpn |
| computer vision | image, video | detection | object-detection | re-ranking-object-proposals-for-object | svm |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | softmax |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | convolution |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | max-pooling |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | relu |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | dropout |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | step-decay |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | randomresizedcrop |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | leaky-relu |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | dense-connections |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | yolov1 |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | roi-pooling |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | vgg |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | fast-r-cnn |
| computer vision | image, video | detection | object-detection | you-only-look-once-unified-real-time-object | colorjitter |
| computer vision | image, video | detection | object-detection | instance-search | roi-pooling |
| computer vision | image, video | detection | object-detection | instance-search | softmax |
| computer vision | image, video | detection | object-detection | instance-search | convolution |
| computer vision | image, video | detection | object-detection | instance-search | faster-r-cnn |
| computer vision | image, video | detection | object-detection | instance-search | rpn |
| computer vision | image, video | detection | object-detection | faster-r-cnn-features-for-instance-search | roi-pooling |
| computer vision | image, video | detection | object-detection | faster-r-cnn-features-for-instance-search | softmax |
| computer vision | image, video | detection | object-detection | faster-r-cnn-features-for-instance-search | convolution |
| computer vision | image, video | detection | object-detection | faster-r-cnn-features-for-instance-search | faster-r-cnn |
| computer vision | image, video | detection | object-detection | faster-r-cnn-features-for-instance-search | rpn |
| computer vision | image, video | detection | object-detection | recovering-6d-object-pose-and-predicting-next | autoencoder |
| computer vision | image, video | detection | object-detection | recovering-6d-object-pose-and-predicting-next | sparse-autoencoder |
| computer vision | image, video | detection | object-detection | object-detection-from-video-tubelets-with | convolution |
| computer vision | image, video | detection | object-detection | deep-feature-based-contextual-model-for | roi-pooling |
| computer vision | image, video | detection | object-detection | deep-feature-based-contextual-model-for | softmax |
| computer vision | image, video | detection | object-detection | deep-feature-based-contextual-model-for | convolution |
| computer vision | image, video | detection | object-detection | deep-feature-based-contextual-model-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deep-feature-based-contextual-model-for | rpn |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | googlenet |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | average-pooling |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | dense-connections |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | inception-module |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | softmax |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | local-response-normalization |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | convolution |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | max-pooling |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | relu |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | dropout |
| computer vision | image, video | detection | object-detection | factors-in-finetuning-deep-model-for-object | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | training-region-based-object-detectors-with | ohem |
| computer vision | image, video | detection | object-detection | craft-objects-from-images | r-cnn |
| computer vision | image, video | detection | object-detection | craft-objects-from-images | convolution |
| computer vision | image, video | detection | object-detection | craft-objects-from-images | max-pooling |
| computer vision | image, video | detection | object-detection | craft-objects-from-images | svm |
| computer vision | image, video | detection | object-detection | adaptive-object-detection-using-adjacency-and | roi-pooling |
| computer vision | image, video | detection | object-detection | adaptive-object-detection-using-adjacency-and | convolution |
| computer vision | image, video | detection | object-detection | adaptive-object-detection-using-adjacency-and | softmax |
| computer vision | image, video | detection | object-detection | adaptive-object-detection-using-adjacency-and | faster-r-cnn |
| computer vision | image, video | detection | object-detection | adaptive-object-detection-using-adjacency-and | rpn |
| computer vision | image, video | detection | object-detection | learning-hough-regression-models-via-bridge | linear-regression |
| computer vision | image, video | detection | object-detection | an-end-to-end-convolutional-selective | autoencoder |
| computer vision | image, video | detection | object-detection | attentive-contexts-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | deep-sliding-shapes-for-amodal-3d-object | rpn |
| computer vision | image, video | detection | object-detection | deep-contrast-learning-for-salient-object | crf |
| computer vision | image, video | detection | object-detection | deepm-a-deep-part-based-model-for-object | r-cnn |
| computer vision | image, video | detection | object-detection | deepm-a-deep-part-based-model-for-object | convolution |
| computer vision | image, video | detection | object-detection | deepm-a-deep-part-based-model-for-object | max-pooling |
| computer vision | image, video | detection | object-detection | deepm-a-deep-part-based-model-for-object | svm |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | rpn |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | fast-r-cnn |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | roi-pooling |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | vgg-16 |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | convolution |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | softmax |
| computer vision | image, video | detection | object-detection | faster-r-cnn-towards-real-time-object | faster-r-cnn |
| computer vision | image, video | detection | object-detection | instance-aware-semantic-segmentation-via | roiwarp |
| computer vision | image, video | detection | object-detection | instance-aware-semantic-segmentation-via | vgg-16 |
| computer vision | image, video | detection | object-detection | instance-aware-semantic-segmentation-via | convolution |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | convolution |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | residual-block |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | max-pooling |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | weight-decay |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | 1x1-convolution |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | relu |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | he-initialization |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | batch-normalization |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | step-decay |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | randomresizedcrop |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | resnet |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | average-pooling |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | global-average-pooling |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | residual-connection |
| computer vision | image, video | detection | object-detection | deep-residual-learning-for-image-recognition | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | evaluation-of-object-detection-proposals | selective-search |
| computer vision | image, video | detection | object-detection | accelerating-very-deep-convolutional-networks | fast-r-cnn |
| computer vision | image, video | detection | object-detection | accelerating-very-deep-convolutional-networks | roi-pooling |
| computer vision | image, video | detection | object-detection | accelerating-very-deep-convolutional-networks | vgg-16 |
| computer vision | image, video | detection | object-detection | accelerating-very-deep-convolutional-networks | convolution |
| computer vision | image, video | detection | object-detection | accelerating-very-deep-convolutional-networks | softmax |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | dense-connections |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | alexnet |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | softmax |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | local-response-normalization |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | convolution |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | max-pooling |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | 1x1-convolution |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | relu |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | dropout |
| computer vision | image, video | detection | object-detection | efficient-object-detection-for-high | grouped-convolution |
| computer vision | image, video | detection | object-detection | relaxed-multiple-instance-svm-with | svm |
| computer vision | image, video | detection | object-detection | fast-r-cnn | fast-r-cnn |
| computer vision | image, video | detection | object-detection | fast-r-cnn | roi-pooling |
| computer vision | image, video | detection | object-detection | fast-r-cnn | convolution |
| computer vision | image, video | detection | object-detection | fast-r-cnn | softmax |
| computer vision | image, video | detection | object-detection | weakly-supervised-learning-for-salient-object | svm |
| computer vision | image, video | detection | object-detection | what-is-holding-back-convnets-for-detection | r-cnn |
| computer vision | image, video | detection | object-detection | what-is-holding-back-convnets-for-detection | convolution |
| computer vision | image, video | detection | object-detection | what-is-holding-back-convnets-for-detection | max-pooling |
| computer vision | image, video | detection | object-detection | what-is-holding-back-convnets-for-detection | svm |
| computer vision | image, video | detection | object-detection | lcnn-low-level-feature-embedded-cnn-for | svm |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | svm |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | fast-r-cnn |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | roi-pooling |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | r-cnn |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | convolution |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | softmax |
| computer vision | image, video | detection | object-detection | what-makes-for-effective-detection-proposals | max-pooling |
| computer vision | image, video | detection | object-detection | deep-cnn-ensemble-with-data-augmentation-for | r-cnn |
| computer vision | image, video | detection | object-detection | deep-cnn-ensemble-with-data-augmentation-for | convolution |
| computer vision | image, video | detection | object-detection | deep-cnn-ensemble-with-data-augmentation-for | max-pooling |
| computer vision | image, video | detection | object-detection | deep-cnn-ensemble-with-data-augmentation-for | svm |
| computer vision | image, video | detection | object-detection | r-cnn-minus-r | r-cnn |
| computer vision | image, video | detection | object-detection | r-cnn-minus-r | convolution |
| computer vision | image, video | detection | object-detection | r-cnn-minus-r | max-pooling |
| computer vision | image, video | detection | object-detection | r-cnn-minus-r | svm |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | googlenet |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | average-pooling |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | dense-connections |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | inception-module |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | softmax |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | local-response-normalization |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | convolution |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | max-pooling |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | 1x1-convolution |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | relu |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | dropout |
| computer vision | image, video | detection | object-detection | deepid-net-deformable-deep-convolutional | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | joint-calibration-of-ensemble-of-exemplar | svm |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | dense-connections |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | spp-net |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | alexnet |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | zfnet |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | local-contrast-normalization |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | r-cnn |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | svm |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | grouped-convolution |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | sgd |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | convolution |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | overfeat |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | softmax |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | local-response-normalization |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | max-pooling |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | 1x1-convolution |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | spatial-pyramid-pooling |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | relu |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | dropout |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | randomresizedcrop |
| computer vision | image, video | detection | object-detection | spatial-pyramid-pooling-in-deep-convolutional | step-decay |
| computer vision | image, video | detection | object-detection | boosting-convolutional-features-for-robust | selective-search |
| computer vision | image, video | detection | object-detection | segdeepm-exploiting-segmentation-and-context | r-cnn |
| computer vision | image, video | detection | object-detection | segdeepm-exploiting-segmentation-and-context | convolution |
| computer vision | image, video | detection | object-detection | segdeepm-exploiting-segmentation-and-context | max-pooling |
| computer vision | image, video | detection | object-detection | segdeepm-exploiting-segmentation-and-context | svm |
| computer vision | image, video | detection | object-detection | compressing-deep-convolutional-networks-using | k-means-clustering |
| computer vision | image, video | detection | object-detection | highly-efficient-forward-and-backward | convolution |
| computer vision | image, video | detection | object-detection | untangling-local-and-global-deformations-in | convolution |
| computer vision | image, video | detection | object-detection | rich-feature-hierarchies-for-accurate-object | r-cnn |
| computer vision | image, video | detection | object-detection | rich-feature-hierarchies-for-accurate-object | convolution |
| computer vision | image, video | detection | object-detection | rich-feature-hierarchies-for-accurate-object | max-pooling |
| computer vision | image, video | detection | object-detection | rich-feature-hierarchies-for-accurate-object | svm |
| computer vision | image, video | detection | object-detection | deep-learning-representation-using | autoencoder |
| computer vision | image, video | detection | object-detection | hierarchical-adaptive-structural-svm-for | svm |
| computer vision | image, video | detection | object-detection | latent-fisher-discriminant-analysis | lda |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | yolov2 |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | average-pooling |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | global-average-pooling |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | convolution |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | softmax |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | max-pooling |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | darknet-19 |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | 1x1-convolution |
| computer vision | image, video | detection | object-detection | semantic-image-retrieval-by-uniting-deep | batch-normalization |
| computer vision | image, video | detection | object-detection | finding-original-image-of-a-sub-image-using | k-nn |
| computer vision | image, video | detection | object-detection | cfenet-an-accurate-and-efficient-single-shot | convolution |
| computer vision | image, video | detection | object-detection | cfenet-an-accurate-and-efficient-single-shot | ssd |
| computer vision | image, video | detection | object-detection | cfenet-an-accurate-and-efficient-single-shot | 1x1-convolution |
| computer vision | image, video | detection | object-detection | cfenet-an-accurate-and-efficient-single-shot | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | liver-lesion-detection-from-weakly-labeled | ran |
| computer vision | image, video | detection | object-detection | metaanchor-learning-to-detect-objects-with | fpn |
| computer vision | image, video | detection | object-detection | metaanchor-learning-to-detect-objects-with | convolution |
| computer vision | image, video | detection | object-detection | metaanchor-learning-to-detect-objects-with | focal-loss |
| computer vision | image, video | detection | object-detection | metaanchor-learning-to-detect-objects-with | 1x1-convolution |
| computer vision | image, video | detection | object-detection | metaanchor-learning-to-detect-objects-with | retinanet |
| computer vision | image, video | detection | object-detection | vehicle-image-generation-going-well-with-the | colorization |
| computer vision | image, video | detection | object-detection | auto-context-r-cnn | roi-align |
| computer vision | image, video | detection | object-detection | towards-multi-class-object-detection-in | convolution |
| computer vision | image, video | detection | object-detection | assessing-fish-abundance-from-underwater | roi-pooling |
| computer vision | image, video | detection | object-detection | assessing-fish-abundance-from-underwater | convolution |
| computer vision | image, video | detection | object-detection | assessing-fish-abundance-from-underwater | softmax |
| computer vision | image, video | detection | object-detection | assessing-fish-abundance-from-underwater | faster-r-cnn |
| computer vision | image, video | detection | object-detection | assessing-fish-abundance-from-underwater | rpn |
| computer vision | image, video | detection | object-detection | spatio-temporal-structured-sparse-regression | gaussian-process |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | global-average-pooling |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | softmax |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | convolution |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | max-pooling |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | 1x1-convolution |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | fire-module |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | relu |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | dropout |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | xavier-initialization |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | residual-connection |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | squeezenet |
| computer vision | image, video | detection | object-detection | pointseg-real-time-semantic-segmentation | average-pooling |
| computer vision | image, video | detection | object-detection | deep-adaptive-proposal-network-for-object | roi-pooling |
| computer vision | image, video | detection | object-detection | deep-adaptive-proposal-network-for-object | convolution |
| computer vision | image, video | detection | object-detection | deep-adaptive-proposal-network-for-object | softmax |
| computer vision | image, video | detection | object-detection | deep-adaptive-proposal-network-for-object | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deep-adaptive-proposal-network-for-object | rpn |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | 1x1-convolution |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | relu |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | he-initialization |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | batch-normalization |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | resnet |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | deeplab |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | dilated-convolution |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | crf |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | average-pooling |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | dense-connections |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | global-average-pooling |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | residual-connection |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | feedforward-network |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | convolution |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | residual-block |
| computer vision | image, video | detection | object-detection | in-pixels-we-trust-from-pixel-labeling-to | max-pooling |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | yolov2 |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | rpn |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | average-pooling |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | global-average-pooling |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | roi-pooling |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | convolution |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | softmax |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | faster-r-cnn |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | max-pooling |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | darknet-19 |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | physical-adversarial-examples-for-object | batch-normalization |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | average-pooling |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | lstm |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | mnasnet |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | dense-connections |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | global-average-pooling |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | depthwise-separable-convolution |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | rmsprop |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | depthwise-convolution |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | tanh-activation |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | sigmoid-activation |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | linear-warmup-with-linear-decay |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | squeeze-and-excitation-block |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | pointwise-convolution |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | convolution |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | softmax |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | weight-decay |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | 1x1-convolution |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | relu |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | inverted-residual-block |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | dropout |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | batch-normalization |
| computer vision | image, video | detection | object-detection | mnasnet-platform-aware-neural-architecture | randomresizedcrop |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | hourglass-module |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | cornernet |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | stacked-hourglass-network |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | colorjitter |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | residual-connection |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | corner-pooling |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | convolution |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | focal-loss |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | max-pooling |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | 1x1-convolution |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | adam |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | relu |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | randomresizedcrop |
| computer vision | image, video | detection | object-detection | cornernet-detecting-objects-as-paired | step-decay |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | global-average-pooling |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | convolution |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | residual-block |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | max-pooling |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | 1x1-convolution |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | relu |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | he-initialization |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | batch-normalization |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | residual-connection |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | resnet |
| computer vision | image, video | detection | object-detection | network-decoupling-from-regular-to-depthwise | average-pooling |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | global-average-pooling |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | softmax |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | convolution |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | max-pooling |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | 1x1-convolution |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | fire-module |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | relu |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | dropout |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | xavier-initialization |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | residual-connection |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | squeezenet |
| computer vision | image, video | detection | object-detection | dnn-feature-map-compression-using-learned | average-pooling |
| computer vision | image, video | detection | object-detection | fast-and-accurate-convolutional-neural | fpn |
| computer vision | image, video | detection | object-detection | fast-and-accurate-convolutional-neural | convolution |
| computer vision | image, video | detection | object-detection | fast-and-accurate-convolutional-neural | focal-loss |
| computer vision | image, video | detection | object-detection | fast-and-accurate-convolutional-neural | 1x1-convolution |
| computer vision | image, video | detection | object-detection | fast-and-accurate-convolutional-neural | retinanet |
| computer vision | image, video | detection | object-detection | a-survey-of-modern-object-detection | roi-pooling |
| computer vision | image, video | detection | object-detection | a-survey-of-modern-object-detection | convolution |
| computer vision | image, video | detection | object-detection | a-survey-of-modern-object-detection | softmax |
| computer vision | image, video | detection | object-detection | a-survey-of-modern-object-detection | faster-r-cnn |
| computer vision | image, video | detection | object-detection | a-survey-of-modern-object-detection | rpn |
| computer vision | image, video | detection | object-detection | fingertip-detection-and-tracking-for | roi-pooling |
| computer vision | image, video | detection | object-detection | fingertip-detection-and-tracking-for | convolution |
| computer vision | image, video | detection | object-detection | fingertip-detection-and-tracking-for | softmax |
| computer vision | image, video | detection | object-detection | fingertip-detection-and-tracking-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | fingertip-detection-and-tracking-for | rpn |
| computer vision | image, video | detection | object-detection | temporal-spatial-mapping-for-action | temporal-attention |
| computer vision | image, video | detection | object-detection | focal-loss-in-3d-object-detection | focal-loss |
| computer vision | image, video | detection | object-detection | revisit-multinomial-logistic-regression-in | softmax |
| computer vision | image, video | detection | object-detection | revisit-multinomial-logistic-regression-in | logistic-regression |
| computer vision | image, video | detection | object-detection | revisit-multinomial-logistic-regression-in | linear-layer |
| computer vision | image, video | detection | object-detection | evaluating-merging-strategies-for-sampling | dropout |
| computer vision | image, video | detection | object-detection | an-fpga-accelerated-design-for-deep-learning | convolution |
| computer vision | image, video | detection | object-detection | an-fpga-accelerated-design-for-deep-learning | ssd |
| computer vision | image, video | detection | object-detection | an-fpga-accelerated-design-for-deep-learning | 1x1-convolution |
| computer vision | image, video | detection | object-detection | an-fpga-accelerated-design-for-deep-learning | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | tanh-activation |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | lstm |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | rpn |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | sigmoid-activation |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | roi-pooling |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | convolution |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | softmax |
| computer vision | image, video | detection | object-detection | cadp-a-novel-dataset-for-cctv-traffic-camera | faster-r-cnn |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | 1x1-convolution |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | relu |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | he-initialization |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | batch-normalization |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | mask-r-cnn |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | resnet |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | rpn |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | average-pooling |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | global-average-pooling |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | roi-pooling |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | faster-r-cnn |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | residual-connection |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | roi-align |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | vgg-16 |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | convolution |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | softmax |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | residual-block |
| computer vision | image, video | detection | object-detection | softer-nms-rethinking-bounding-box-regression | max-pooling |
| computer vision | image, video | detection | object-detection | global-weighted-average-pooling-bridges-pixel | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | global-weighted-average-pooling-bridges-pixel | convolution |
| computer vision | image, video | detection | object-detection | global-weighted-average-pooling-bridges-pixel | max-pooling |
| computer vision | image, video | detection | object-detection | global-weighted-average-pooling-bridges-pixel | average-pooling |
| computer vision | image, video | detection | object-detection | global-weighted-average-pooling-bridges-pixel | r-fcn |
| computer vision | image, video | detection | object-detection | object-detection-from-scratch-with-deep | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | object-detection-from-scratch-with-deep | fpn |
| computer vision | image, video | detection | object-detection | object-detection-from-scratch-with-deep | convolution |
| computer vision | image, video | detection | object-detection | object-detection-from-scratch-with-deep | ssd |
| computer vision | image, video | detection | object-detection | object-detection-from-scratch-with-deep | 1x1-convolution |
| computer vision | image, video | detection | object-detection | object-detection-from-scratch-with-deep | dense-connections |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | ssd |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | rpn |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | roi-pooling |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | convolution |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | softmax |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | faster-r-cnn |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | satellite-imagery-multiscale-rapid-detection | r-fcn |
| computer vision | image, video | detection | object-detection | dropout-distillation-for-efficiently | dropout |
| computer vision | image, video | detection | object-detection | dropout-distillation-for-efficiently | roi-pooling |
| computer vision | image, video | detection | object-detection | dropout-distillation-for-efficiently | convolution |
| computer vision | image, video | detection | object-detection | dropout-distillation-for-efficiently | softmax |
| computer vision | image, video | detection | object-detection | dropout-distillation-for-efficiently | faster-r-cnn |
| computer vision | image, video | detection | object-detection | dropout-distillation-for-efficiently | rpn |
| computer vision | image, video | detection | object-detection | real-time-dynamic-object-detection-for | carla |
| computer vision | image, video | detection | object-detection | boundary-guided-feature-aggregation-network | convolution |
| computer vision | image, video | detection | object-detection | boundary-guided-feature-aggregation-network | fcn |
| computer vision | image, video | detection | object-detection | boundary-guided-feature-aggregation-network | max-pooling |
| computer vision | image, video | detection | object-detection | landmine-detection-using-autoencoders-on | autoencoder |
| computer vision | image, video | detection | object-detection | catdet-cascaded-tracked-detector-for | roi-pooling |
| computer vision | image, video | detection | object-detection | catdet-cascaded-tracked-detector-for | convolution |
| computer vision | image, video | detection | object-detection | catdet-cascaded-tracked-detector-for | softmax |
| computer vision | image, video | detection | object-detection | catdet-cascaded-tracked-detector-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | catdet-cascaded-tracked-detector-for | rpn |
| computer vision | image, video | detection | object-detection | pixel-and-feature-level-based-domain-adaption | cycle-consistency-loss |
| computer vision | image, video | detection | object-detection | multi-view-x-ray-r-cnn | roi-pooling |
| computer vision | image, video | detection | object-detection | multi-view-x-ray-r-cnn | softmax |
| computer vision | image, video | detection | object-detection | multi-view-x-ray-r-cnn | convolution |
| computer vision | image, video | detection | object-detection | multi-view-x-ray-r-cnn | faster-r-cnn |
| computer vision | image, video | detection | object-detection | multi-view-x-ray-r-cnn | rpn |
| computer vision | image, video | detection | object-detection | ktan-knowledge-transfer-adversarial-network | softmax |
| computer vision | image, video | detection | object-detection | ktan-knowledge-transfer-adversarial-network | knowledge-distillation |
| computer vision | image, video | reasoning | knowledge representation and reasoning | ktan-knowledge-transfer-adversarial-network | softmax |
| computer vision | image, video | reasoning | knowledge representation and reasoning | ktan-knowledge-transfer-adversarial-network | knowledge-distillation |
| computer vision | image, video | detection | object-detection | salience-biased-loss-for-object-detection-in | fpn |
| computer vision | image, video | detection | object-detection | salience-biased-loss-for-object-detection-in | convolution |
| computer vision | image, video | detection | object-detection | salience-biased-loss-for-object-detection-in | focal-loss |
| computer vision | image, video | detection | object-detection | salience-biased-loss-for-object-detection-in | 1x1-convolution |
| computer vision | image, video | detection | object-detection | salience-biased-loss-for-object-detection-in | retinanet |
| computer vision | image, video | detection | object-detection | query-based-logo-segmentation | convolution |
| computer vision | image, video | detection | object-detection | query-based-logo-segmentation | 1x1-convolution |
| computer vision | image, video | detection | object-detection | roarnet-a-robust-3d-object-detection-based-on | pointnet |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | sfam |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | ssd |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | convolution |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | residual-block |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | max-pooling |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | focal-loss |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | relu |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | retinanet |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | he-initialization |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | batch-normalization |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | tum |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | step-decay |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | mlfpn |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | fpn |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | ffmv1 |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | average-pooling |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | dense-connections |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | linear-warmup |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | global-average-pooling |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | ffmv2 |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | residual-connection |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | sigmoid-activation |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | roi-align |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | softmax |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | weight-decay |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | 1x1-convolution |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | dropout |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | mask-r-cnn |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | resnet |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | m2det |
| computer vision | image, video | detection | object-detection | m2det-a-single-shot-object-detector-based-on | vgg |
| computer vision | image, video | detection | object-detection | ban-focusing-on-boundary-context-for-object | convolution |
| computer vision | image, video | detection | object-detection | yolo-lite-a-real-time-object-detection | convolution |
| computer vision | image, video | detection | object-detection | yolo-lite-a-real-time-object-detection | ssd |
| computer vision | image, video | detection | object-detection | yolo-lite-a-real-time-object-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | yolo-lite-a-real-time-object-detection | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | derpn-taking-a-further-step-toward-more | rpn |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | vgg-16 |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | softmax |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | convolution |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | max-pooling |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | segnet |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | relu |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | he-initialization |
| computer vision | image, video | detection | object-detection | composite-binary-decomposition-networks | batch-normalization |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | dense-connections |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | alexnet |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | softmax |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | local-response-normalization |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | convolution |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | max-pooling |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | relu |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | dropout |
| computer vision | image, video | detection | object-detection | fotonnet-a-hw-efficient-object-detection | grouped-convolution |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | 1x1-convolution |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | spatial-pyramid-pooling |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | convolution |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | ssd |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | aspp |
| computer vision | image, video | detection | object-detection | pixel-anchor-a-fast-oriented-scene-text | dilated-convolution |
| computer vision | image, video | detection | object-detection | open-vocabulary-phrase-detection | roi-pooling |
| computer vision | image, video | detection | object-detection | open-vocabulary-phrase-detection | convolution |
| computer vision | image, video | detection | object-detection | open-vocabulary-phrase-detection | softmax |
| computer vision | image, video | detection | object-detection | open-vocabulary-phrase-detection | faster-r-cnn |
| computer vision | image, video | detection | object-detection | open-vocabulary-phrase-detection | rpn |
| computer vision | image, video | detection | object-detection | data-efficient-graph-embedding-learning-for | roi-pooling |
| computer vision | image, video | detection | object-detection | data-efficient-graph-embedding-learning-for | softmax |
| computer vision | image, video | detection | object-detection | data-efficient-graph-embedding-learning-for | convolution |
| computer vision | image, video | detection | object-detection | data-efficient-graph-embedding-learning-for | faster-r-cnn |
| computer vision | image, video | detection | object-detection | data-efficient-graph-embedding-learning-for | rpn |
| computer vision | image, video | detection | object-detection | data-efficient-graph-embedding-learning-for | pcb |
| computer vision | image, video | detection | object-detection | scalable-logo-recognition-using-proxies | triplet-loss |
| computer vision | image, video | detection | object-detection | retina-u-net-embarrassingly-simple | convolution |
| computer vision | image, video | detection | object-detection | retina-u-net-embarrassingly-simple | max-pooling |
| computer vision | image, video | detection | object-detection | retina-u-net-embarrassingly-simple | relu |
| computer vision | image, video | detection | object-detection | retina-u-net-embarrassingly-simple | u-net |
| computer vision | image, video | detection | object-detection | retina-u-net-embarrassingly-simple | concatenated-skip-connection |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | resnet |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | average-pooling |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | global-average-pooling |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | resnext-block |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | grouped-convolution |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | residual-connection |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | convolution |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | residual-block |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | max-pooling |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | 1x1-convolution |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | resnext |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | relu |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | he-initialization |
| computer vision | image, video | detection | object-detection | rethinking-imagenet-pre-training | batch-normalization |
| computer vision | image, video | detection | object-detection | a-proposal-based-solution-to-spatio-temporal | temporal-jittering |
| computer vision | image, video | detection | object-detection | defect-detection-from-uav-images-based-on | roi-pooling |
| computer vision | image, video | detection | object-detection | defect-detection-from-uav-images-based-on | convolution |
| computer vision | image, video | detection | object-detection | defect-detection-from-uav-images-based-on | softmax |
| computer vision | image, video | detection | object-detection | defect-detection-from-uav-images-based-on | faster-r-cnn |
| computer vision | image, video | detection | object-detection | defect-detection-from-uav-images-based-on | rpn |
| computer vision | image, video | detection | object-detection | distorting-neural-representations-to-generate | softmax |
| computer vision | image, video | detection | object-detection | leveraging-filter-correlations-for-deep-model | vgg-16 |
| computer vision | image, video | detection | object-detection | expandnets-exploiting-linear-redundancy-to | knowledge-distillation |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | rpn |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | roi-pooling |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | mask-r-cnn |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | roi-align |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | convolution |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | softmax |
| computer vision | image, video | detection | object-detection | non-local-roi-for-cross-object-perception | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | relu |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | he-initialization |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | batch-normalization |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | deformable-roi-pooling |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | rpn |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | average-pooling |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | global-average-pooling |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | roi-pooling |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | faster-r-cnn |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | deformable-convolution |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | residual-connection |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | deformable-convnets |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | roi-align |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | softmax |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | weight-decay |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | 1x1-convolution |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | mask-r-cnn |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | resnet |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | convolution |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | residual-block |
| computer vision | image, video | detection | object-detection | deformable-convnets-v2-more-deformable-better | max-pooling |
| computer vision | image, video | detection | object-detection | fast-object-detection-in-compressed-video | convolution |
| computer vision | image, video | detection | object-detection | fast-object-detection-in-compressed-video | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | fast-object-detection-in-compressed-video | memory-network |
| computer vision | image, video | detection | object-detection | fast-object-detection-in-compressed-video | r-fcn |
| computer vision | image, video | detection | object-detection | probability-based-detection-quality-pdq-a | monte-carlo-dropout |
| computer vision | image, video | detection | object-detection | probability-based-detection-quality-pdq-a | dropout |
| computer vision | image, video | detection | object-detection | ccnet-criss-cross-attention-for-semantic | ccnet |
| computer vision | image, video | detection | object-detection | ccnet-criss-cross-attention-for-semantic | non-local-block |
| computer vision | image, video | detection | object-detection | ccnet-criss-cross-attention-for-semantic | residual-connection |
| computer vision | image, video | detection | object-detection | ccnet-criss-cross-attention-for-semantic | non-local-operation |
| computer vision | image, video | detection | object-detection | ccnet-criss-cross-attention-for-semantic | 1x1-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | espnet |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | dilated-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | average-pooling |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | dense-connections |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | global-average-pooling |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | residual-connection |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | sigmoid-activation |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | strided-eesp |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | pointwise-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | espnetv2 |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | softmax |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | 1x1-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | dropout |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | randomresizedcrop |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | esp |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | lstm |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | hierarchical-feature-fusion |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | concatenated-skip-connection |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | eesp |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | depthwise-separable-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | cyclical-learning-rate-policy |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | depthwise-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | grouped-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | tanh-activation |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | eru |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | sgd |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | prelu |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | depthwise-dilated-separable-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | groupwise-point-convolution |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | he-initialization |
| computer vision | image, video | detection | object-detection | espnetv2-a-light-weight-power-efficient-and | batch-normalization |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | fpn |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | mask-r-cnn |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | roi-align |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | convolution |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | softmax |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | focal-loss |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | 1x1-convolution |
| computer vision | image, video | detection | object-detection | deep-regionlets-blended-representation-and | retinanet |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | global-average-pooling |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | convolution |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | residual-block |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | max-pooling |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | 1x1-convolution |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | relu |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | he-initialization |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | batch-normalization |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | residual-connection |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | resnet |
| computer vision | image, video | detection | object-detection | imagenet-trained-cnns-are-biased-towards | average-pooling |
| computer vision | image, video | detection | object-detection | grid-r-cnn | grid-r-cnn |
| computer vision | image, video | detection | object-detection | grid-r-cnn | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | grid-r-cnn | convolution |
| computer vision | image, video | detection | object-detection | grid-r-cnn | residual-block |
| computer vision | image, video | detection | object-detection | grid-r-cnn | max-pooling |
| computer vision | image, video | detection | object-detection | grid-r-cnn | resnext |
| computer vision | image, video | detection | object-detection | grid-r-cnn | relu |
| computer vision | image, video | detection | object-detection | grid-r-cnn | he-initialization |
| computer vision | image, video | detection | object-detection | grid-r-cnn | batch-normalization |
| computer vision | image, video | detection | object-detection | grid-r-cnn | syncbn |
| computer vision | image, video | detection | object-detection | grid-r-cnn | fpn |
| computer vision | image, video | detection | object-detection | grid-r-cnn | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | grid-r-cnn | dilated-convolution |
| computer vision | image, video | detection | object-detection | grid-r-cnn | rpn |
| computer vision | image, video | detection | object-detection | grid-r-cnn | average-pooling |
| computer vision | image, video | detection | object-detection | grid-r-cnn | global-average-pooling |
| computer vision | image, video | detection | object-detection | grid-r-cnn | roi-pooling |
| computer vision | image, video | detection | object-detection | grid-r-cnn | faster-r-cnn |
| computer vision | image, video | detection | object-detection | grid-r-cnn | residual-connection |
| computer vision | image, video | detection | object-detection | grid-r-cnn | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | grid-r-cnn | sigmoid-activation |
| computer vision | image, video | detection | object-detection | grid-r-cnn | roi-align |
| computer vision | image, video | detection | object-detection | grid-r-cnn | softmax |
| computer vision | image, video | detection | object-detection | grid-r-cnn | fcn |
| computer vision | image, video | detection | object-detection | grid-r-cnn | weight-decay |
| computer vision | image, video | detection | object-detection | grid-r-cnn | 1x1-convolution |
| computer vision | image, video | detection | object-detection | grid-r-cnn | resnet |
| computer vision | image, video | detection | object-detection | grid-r-cnn | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | grid-r-cnn | resnext-block |
| computer vision | image, video | detection | object-detection | grid-r-cnn | grouped-convolution |
| computer vision | image, video | detection | object-detection | transferable-adversarial-attacks-for-image | convolution |
| computer vision | image, video | detection | object-detection | transferable-adversarial-attacks-for-image | ssd |
| computer vision | image, video | detection | object-detection | transferable-adversarial-attacks-for-image | 1x1-convolution |
| computer vision | image, video | detection | object-detection | transferable-adversarial-attacks-for-image | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | residual-connection |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | layer-normalization |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | dense-connections |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | label-smoothing |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | transformer |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | scaled |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | softmax |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | position-wise-feed-forward-layer |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | multi-head-attention |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | adam |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | relu |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | absolute-position-encodings |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | dropout |
| computer vision | image, video | detection | object-detection | learning-roi-transformer-for-detecting | bpe |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | nesterov-accelerated-gradient |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | mixup |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | average-pooling |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | cosine-annealing |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | label-smoothing |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | global-average-pooling |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | residual-connection |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | resnet-d |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | convolution |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | residual-block |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | max-pooling |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | weight-decay |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | 1x1-convolution |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | relu |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | randomresizedcrop |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | xavier-initialization |
| computer vision | image, video | detection | object-detection | bag-of-tricks-for-image-classification-with | batch-normalization |
| computer vision | image, video | detection | object-detection | iterative-reorganization-with-weak-spatial | jigsaw |
| computer vision | image, video | detection | object-detection | sada-semantic-adversarial-diagnostic-attacks | gan |
| computer vision | image, video | detection | object-detection | sada-semantic-adversarial-diagnostic-attacks | carla |
| computer vision | image, video | detection | object-detection | feature-matters-a-stage-by-stage-approach-for | knowledge-distillation |
| computer vision | image, video | detection | object-detection | omnia-faster-r-cnn-detection-in-the-wild | roi-pooling |
| computer vision | image, video | detection | object-detection | omnia-faster-r-cnn-detection-in-the-wild | convolution |
| computer vision | image, video | detection | object-detection | omnia-faster-r-cnn-detection-in-the-wild | softmax |
| computer vision | image, video | detection | object-detection | omnia-faster-r-cnn-detection-in-the-wild | faster-r-cnn |
| computer vision | image, video | detection | object-detection | omnia-faster-r-cnn-detection-in-the-wild | rpn |
| computer vision | image, video | detection | object-detection | super-resolution | convolution |
| computer vision | image, video | detection | object-detection | super-resolution | ssd |
| computer vision | image, video | detection | object-detection | super-resolution | 1x1-convolution |
| computer vision | image, video | detection | object-detection | super-resolution | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | the-effects-of-super-resolution-on-object | convolution |
| computer vision | image, video | detection | object-detection | the-effects-of-super-resolution-on-object | ssd |
| computer vision | image, video | detection | object-detection | the-effects-of-super-resolution-on-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | the-effects-of-super-resolution-on-object | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | picanet-pixel-wise-contextual-attention | convolution |
| computer vision | image, video | detection | object-detection | picanet-pixel-wise-contextual-attention | max-pooling |
| computer vision | image, video | detection | object-detection | picanet-pixel-wise-contextual-attention | relu |
| computer vision | image, video | detection | object-detection | picanet-pixel-wise-contextual-attention | u-net |
| computer vision | image, video | detection | object-detection | picanet-pixel-wise-contextual-attention | concatenated-skip-connection |
| computer vision | image, video | detection | object-detection | cnn-based-multi-instance-multi-task-learning | max-pooling |
| computer vision | image, video | detection | object-detection | squantizer-simultaneous-learning-for-both | tanh-activation |
| computer vision | image, video | detection | object-detection | squantizer-simultaneous-learning-for-both | softmax |
| computer vision | image, video | detection | object-detection | squantizer-simultaneous-learning-for-both | lstm |
| computer vision | image, video | detection | object-detection | squantizer-simultaneous-learning-for-both | sigmoid-activation |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | resnet |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | average-pooling |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | dense-connections |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | global-average-pooling |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | mobilenetv1 |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | channel-shuffle |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | depthwise-separable-convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | depthwise-convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | grouped-convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | residual-connection |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | pointwise-convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | softmax |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | residual-block |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | shufflenet |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | max-pooling |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | shufflenet-block |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | 1x1-convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | mobilenetv2 |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | relu |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | groupwise-point-convolution |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | he-initialization |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | inverted-residual-block |
| computer vision | image, video | detection | object-detection | slimmable-neural-networks | batch-normalization |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | global-average-pooling |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | convolution |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | residual-block |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | max-pooling |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | group-normalization |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | 1x1-convolution |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | relu |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | he-initialization |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | batch-normalization |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | residual-connection |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | resnet |
| computer vision | image, video | detection | object-detection | kalman-normalization-normalizing-internal | average-pooling |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | global-average-pooling |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | convolution |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | residual-block |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | max-pooling |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | 1x1-convolution |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | relu |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | he-initialization |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | batch-normalization |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | residual-connection |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | resnet |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | ssd |
| computer vision | image, video | detection | object-detection | revisiting-multi-task-learning-with-rock-a | average-pooling |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | convolution |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | softmax |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | max-pooling |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | weight-decay |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | 1x1-convolution |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | relu |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | batch-normalization |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | step-decay |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | sgd-with-momentum |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | average-pooling |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | two-way-dense-layer |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | dense-connections |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | cosine-annealing |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | global-average-pooling |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | peleenet |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | residual-connection |
| computer vision | image, video | detection | object-detection | pelee-a-real-time-object-detection-system-on-1 | ssd |
| computer vision | image, video | detection | object-detection | fast-template-evaluation-with-vector | svm |
| computer vision | image, video | detection | object-detection | flow-guided-recurrent-neural-encoder-for | tanh-activation |
| computer vision | image, video | detection | object-detection | flow-guided-recurrent-neural-encoder-for | convolution |
| computer vision | image, video | detection | object-detection | flow-guided-recurrent-neural-encoder-for | fcn |
| computer vision | image, video | detection | object-detection | flow-guided-recurrent-neural-encoder-for | max-pooling |
| computer vision | image, video | detection | object-detection | flow-guided-recurrent-neural-encoder-for | lstm |
| computer vision | image, video | detection | object-detection | flow-guided-recurrent-neural-encoder-for | sigmoid-activation |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | global-average-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | convolution |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | residual-block |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | max-pooling |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | npid |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | 1x1-convolution |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | relu |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | he-initialization |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | batch-normalization |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | residual-connection |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | resnet |
| computer vision | image, video | detection | object-detection | unsupervised-feature-learning-via-non-1 | average-pooling |
| computer vision | image, video | detection | object-detection | generative-adversarial-learning-towards-fast | convolution |
| computer vision | image, video | detection | object-detection | generative-adversarial-learning-towards-fast | ssd |
| computer vision | image, video | detection | object-detection | generative-adversarial-learning-towards-fast | 1x1-convolution |
| computer vision | image, video | detection | object-detection | generative-adversarial-learning-towards-fast | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | learning-globally-optimized-object-detector | reinforce |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | googlenet |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | average-pooling |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | dense-connections |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | alexnet |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | inception-module |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | softmax |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | local-response-normalization |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | convolution |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | max-pooling |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | 1x1-convolution |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | relu |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | dropout |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | grouped-convolution |
| computer vision | image, video | detection | object-detection | clip-q-deep-network-compression-learning-by | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | fpn |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | dilated-convolution |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | dilated-bottleneck-with-projection-block |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | average-pooling |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | rpn |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | global-average-pooling |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | dilated-bottleneck-block |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | roi-pooling |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | position-sensitive-roi-pooling |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | faster-r-cnn |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | residual-connection |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | detnet |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | ssd |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | non-maximum-suppression |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | convolution |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | softmax |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | focal-loss |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | 1x1-convolution |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | r-fcn |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | retinanet |
| computer vision | image, video | detection | object-detection | detnet-design-backbone-for-object-detection | relu |
| computer vision | image, video | detection | object-detection | parallel-feature-pyramid-network-for-object | spatial-pyramid-pooling |
| computer vision | image, video | detection | object-detection | pyramid-dilated-deeper-convlstm-for-video | tanh-activation |
| computer vision | image, video | detection | object-detection | pyramid-dilated-deeper-convlstm-for-video | convolution |
| computer vision | image, video | detection | object-detection | pyramid-dilated-deeper-convlstm-for-video | dilated-convolution |
| computer vision | image, video | detection | object-detection | pyramid-dilated-deeper-convlstm-for-video | sigmoid-activation |
| computer vision | image, video | detection | object-detection | pyramid-dilated-deeper-convlstm-for-video | convlstm |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | dense-connections |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | alexnet |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | softmax |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | local-response-normalization |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | convolution |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | max-pooling |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | 1x1-convolution |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | relu |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | dropout |
| computer vision | image, video | detection | object-detection | tbn-convolutional-neural-network-with-ternary | grouped-convolution |
| computer vision | image, video | detection | object-detection | region-proposal-networks-with-contextual | rpn |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | vgg-16 |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | softmax |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | convolution |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | max-pooling |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | segnet |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | relu |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | he-initialization |
| computer vision | image, video | detection | object-detection | studying-the-plasticity-in-deep-convolutional | batch-normalization |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | resnet |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | dilated-convolution |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | average-pooling |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | global-average-pooling |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | deformable-convolution |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | residual-connection |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | soft-nms |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | tridentnet-block |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | convolution |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | residual-block |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | max-pooling |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | tridentnet |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | 1x1-convolution |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | relu |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | he-initialization |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | batch-normalization |
| computer vision | image, video | detection | object-detection | scale-aware-trident-networks-for-object | step-decay |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | average-pooling |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | sigmoid-activation |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | dense-connections |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | squeeze-and-excitation-block |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | senet |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | global-average-pooling |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | convolution |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | softmax |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | max-pooling |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | relu |
| computer vision | image, video | detection | object-detection | 3d-object-detection-using-scale-invariant-and | he-initialization |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | guided-anchoring |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | convolution |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | softmax |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | residual-block |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | max-pooling |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | focal-loss |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | 1x1-convolution |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | relu |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | retinanet |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | he-initialization |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | batch-normalization |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | fpn |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | resnet |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | rpn |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | average-pooling |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | global-average-pooling |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | roi-pooling |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | faster-r-cnn |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | fast-r-cnn |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | region-proposal-by-guided-anchoring | residual-connection |
| computer vision | image, video | detection | object-detection | a-survey-of-the-recent-architectures-of-deep | tanh-activation |
| computer vision | image, video | detection | object-detection | a-survey-of-the-recent-architectures-of-deep | mish |
| computer vision | image, video | detection | object-detection | a-survey-of-the-recent-architectures-of-deep | softplus |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | resnext |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | relu |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | he-initialization |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | batch-normalization |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | fpn |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | global-convolutional-network |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | average-pooling |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | rpn |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | dense-connections |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | global-average-pooling |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | senet |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | deformable-convolution |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | residual-connection |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | soft-nms |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | sigmoid-activation |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | bottom-up-path-augmentation |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | squeeze-and-excitation-block |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | htc |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | roi-align |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | softmax |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | cascade-r-cnn |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | 1x1-convolution |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | resnet |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | pafpn |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | precise-roi-pooling |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | cascade-mask-r-cnn |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | resnext-block |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | grouped-convolution |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | convolution |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | residual-block |
| computer vision | image, video | detection | object-detection | hybrid-task-cascade-for-instance-segmentation | max-pooling |
| computer vision | image, video | detection | object-detection | consistent-optimization-for-single-shot | fpn |
| computer vision | image, video | detection | object-detection | consistent-optimization-for-single-shot | convolution |
| computer vision | image, video | detection | object-detection | consistent-optimization-for-single-shot | focal-loss |
| computer vision | image, video | detection | object-detection | consistent-optimization-for-single-shot | 1x1-convolution |
| computer vision | image, video | detection | object-detection | consistent-optimization-for-single-shot | retinanet |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | corner-pooling |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | convolution |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | residual-block |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | max-pooling |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | dextr |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | 1x1-convolution |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | adam |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | relu |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | he-initialization |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | randomresizedcrop |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | batch-normalization |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | extremenet |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | random-scaling |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | resnet |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | dilated-convolution |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | average-pooling |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | randomhorizontalflip |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | global-average-pooling |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | hourglass-module |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | cornernet |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | stacked-hourglass-network |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | colorjitter |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | residual-connection |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | bottleneck-residual-block |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | soft-nms |
| computer vision | image, video | detection | object-detection | bottom-up-object-detection-by-grouping | pyramid-pooling-module |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | googlenet |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | average-pooling |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | dense-connections |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | alexnet |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | inception-module |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | lenet |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | vgg |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | grouped-convolution |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | admm |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | softmax |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | local-response-normalization |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | convolution |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | max-pooling |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | 1x1-convolution |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | relu |
| computer vision | image, video | detection | object-detection | towards-compact-convnets-via-structure | dropout |
| computer vision | image, video | detection | object-detection | superpixels | crf |
| computer vision | image, video | detection | object-detection | superpixels | svm |
| computer vision | image, video | detection | object-detection | superpixels | selective-search |
| computer vision | image, video | detection | object-detection | superpixels | googlenet |
| computer vision | image, video | detection | object-detection | superpixels | average-pooling |
| computer vision | image, video | detection | object-detection | superpixels | dense-connections |
| computer vision | image, video | detection | object-detection | superpixels | inception-module |
| computer vision | image, video | detection | object-detection | superpixels | softmax |
| computer vision | image, video | detection | object-detection | superpixels | local-response-normalization |
| computer vision | image, video | detection | object-detection | superpixels | convolution |
| computer vision | image, video | detection | object-detection | superpixels | max-pooling |
| computer vision | image, video | detection | object-detection | superpixels | svm |
| computer vision | image, video | detection | object-detection | superpixels | 1x1-convolution |
| computer vision | image, video | detection | object-detection | superpixels | relu |
| computer vision | image, video | detection | object-detection | superpixels | dropout |
| computer vision | image, video | detection | object-detection | superpixels | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | googlenet |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | average-pooling |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | dense-connections |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | inception-module |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | softmax |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | local-response-normalization |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | convolution |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | max-pooling |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | svm |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | 1x1-convolution |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | relu |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | dropout |
| computer vision | image, video | detection | object-detection | object-detection-by-labeling-superpixels | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | progressively-parsing-interactional-objects | tanh-activation |
| computer vision | image, video | detection | object-detection | progressively-parsing-interactional-objects | lstm |
| computer vision | image, video | detection | object-detection | progressively-parsing-interactional-objects | sigmoid-activation |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | googlenet |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | lstm |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | average-pooling |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | dense-connections |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | inception-module |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | auxiliary-classifier |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | tanh-activation |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | sigmoid-activation |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | softmax |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | local-response-normalization |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | convolution |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | max-pooling |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | 1x1-convolution |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | relu |
| computer vision | image, video | detection | object-detection | weighted-entropy-based-quantization-for-deep | dropout |
| computer vision | image, video | detection | object-detection | robust-visual-tracking-using-oblique-random | svm |
| computer vision | image, video | detection | object-detection | unsupervised-tube-extraction-using | selective-search |
| computer vision | image, video | detection | object-detection | scenenet-rgb-d-can-5m-synthetic-images-beat | vgg-16 |
| computer vision | image, video | segmentation | sementic segmentation | patchfcn-for-intracranial-hemorrhage | convolution |
| computer vision | image, video | segmentation | sementic segmentation | patchfcn-for-intracranial-hemorrhage | fcn |
| computer vision | image, video | segmentation | sementic segmentation | patchfcn-for-intracranial-hemorrhage | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | sbnet-sparse-blocks-network-for-fast | convolution |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | convolution |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | relu |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | resnet |
| computer vision | image, video | segmentation | sementic segmentation | resnet-sparsifier-learning-strict-identity | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | algorithms-for-semantic-segmentation-of | dcnn |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | non-maximum-suppression |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | roi-align |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | convolution |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | softmax |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | weight-decay |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | relu |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | step-decay |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | fpn |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | sgd-with-momentum |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | dilated-convolution |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | dilated-bottleneck-with-projection-block |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | rpn |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | randomhorizontalflip |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | dilated-bottleneck-block |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | roi-pooling |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | faster-r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | detnet-a-backbone-network-for-object | detnet |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | deeplabv3 |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | dilated-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | relu6 |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | rmsprop |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | depthwise-separable-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | aspp |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | depthwise-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | pointwise-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | convolution |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | weight-decay |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | mobilenetv2 |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | relu |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | spatial-pyramid-pooling |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | inverted-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | dropout |
| computer vision | image, video | segmentation | sementic segmentation | mobilenetv2-inverted-residuals-and-linear | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | pose2seg-detection-free-human-instance | roi-align |
| computer vision | image, video | segmentation | sementic segmentation | pose2seg-detection-free-human-instance | convolution |
| computer vision | image, video | segmentation | sementic segmentation | pose2seg-detection-free-human-instance | softmax |
| computer vision | image, video | segmentation | sementic segmentation | deeply-supervised-salient-object-detection | convolution |
| computer vision | image, video | segmentation | sementic segmentation | deeply-supervised-salient-object-detection | fcn |
| computer vision | image, video | segmentation | sementic segmentation | deeply-supervised-salient-object-detection | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | resnext-block |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | grouped-convolution |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | adaptive-feature-pooling |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | bottom-up-path-augmentation |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | roi-align |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | convolution |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | weight-decay |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | resnext |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | relu |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | panet |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | sgd-with-momentum |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | fpn |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | resnet |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | pafpn |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | rpn |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | dense-connections |
| computer vision | image, video | segmentation | sementic segmentation | path-aggregation-network-for-instance | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deep-6dpose-recovering-6d-object-pose-from-a | mask-r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | deep-6dpose-recovering-6d-object-pose-from-a | roi-align |
| computer vision | image, video | segmentation | sementic segmentation | deep-6dpose-recovering-6d-object-pose-from-a | convolution |
| computer vision | image, video | segmentation | sementic segmentation | deep-6dpose-recovering-6d-object-pose-from-a | softmax |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | roi-align |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | convolution |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | softmax |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | resnext |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | relu |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | mask-r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | resnet |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | resnext-block |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | grouped-convolution |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | mask-r-cnn | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | convolution |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | relu |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | resnet |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | dilated-convolution |
| computer vision | image, video | segmentation | sementic segmentation | masklab-instance-segmentation-by-refining | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | segnet |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | relu |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | softmax |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | convolution |
| computer vision | image, video | segmentation | sementic segmentation | squeeze-segnet-a-new-fast-deep-convolutional | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | gaussian-filter-in-crf-based-semantic | convolution |
| computer vision | image, video | segmentation | sementic segmentation | gaussian-filter-in-crf-based-semantic | fcn |
| computer vision | image, video | segmentation | sementic segmentation | gaussian-filter-in-crf-based-semantic | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | gaussian-filter-in-crf-based-semantic | crf |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | relu |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | fpn |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | resnet |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | rpn |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | roi-pooling |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | faster-r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | ssd |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | non-maximum-suppression |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | convolution |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | softmax |
| computer vision | image, video | segmentation | sementic segmentation | chainercv-a-library-for-deep-learning-in | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | learning-to-segment-on-tiny-datasets-a-new | crf |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | convolution |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | softmax |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | weight-decay |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | relu |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | xavier-initialization |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | step-decay |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | sgd-with-momentum |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | resnet |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | rpn |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | roi-pooling |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | faster-r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | rmsprop |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | revisiting-unreasonable-effectiveness-of-data | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | relu |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | deformable-roi-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | resnet |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | deformable-position-sensitive-roi-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | deformable-convolution |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | deformable-convnets |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | convolution |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | deformable-convolutional-networks | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | pixelwise-instance-segmentation-with-a | crf |
| computer vision | image, video | segmentation | sementic segmentation | resfeats-residual-network-based-features-for | pca |
| computer vision | image, video | segmentation | sementic segmentation | higher-order-conditional-random-fields-in | crf |
| computer vision | image, video | reasoning | sementic segmentation | znni-maximizing-the-inference-throughput-of | convolution |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | sgd-with-momentum |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | deeplab |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | feedforward-network |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | crf |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | dense-connections |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | softmax |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | convolution |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | vgg |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | weight-decay |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | relu |
| computer vision | image, video | segmentation | sementic segmentation | semantic-image-segmentation-with-deep | dropout |
| computer vision | image, video | segmentation | sementic segmentation | re-ranking-object-proposals-for-object | svm |
| computer vision | image, video | segmentation | sementic segmentation | object-detection-from-video-tubelets-with | convolution |
| computer vision | image, video | segmentation | sementic segmentation | instance-aware-semantic-segmentation-via | roiwarp |
| computer vision | image, video | segmentation | sementic segmentation | instance-aware-semantic-segmentation-via | vgg-16 |
| computer vision | image, video | segmentation | sementic segmentation | instance-aware-semantic-segmentation-via | convolution |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | convolution |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | weight-decay |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | relu |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | step-decay |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | randomresizedcrop |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | sgd-with-momentum |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | resnet |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | randomhorizontalflip |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | deep-residual-learning-for-image-recognition | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | segdeepm-exploiting-segmentation-and-context | r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | segdeepm-exploiting-segmentation-and-context | convolution |
| computer vision | image, video | segmentation | sementic segmentation | segdeepm-exploiting-segmentation-and-context | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | segdeepm-exploiting-segmentation-and-context | svm |
| computer vision | image, video | segmentation | sementic segmentation | highly-efficient-forward-and-backward | convolution |
| computer vision | image, video | segmentation | sementic segmentation | rich-feature-hierarchies-for-accurate-object | r-cnn |
| computer vision | image, video | segmentation | sementic segmentation | rich-feature-hierarchies-for-accurate-object | convolution |
| computer vision | image, video | segmentation | sementic segmentation | rich-feature-hierarchies-for-accurate-object | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | rich-feature-hierarchies-for-accurate-object | svm |
| computer vision | image, video | segmentation | sementic segmentation | vehicle-image-generation-going-well-with-the | colorization |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | softmax |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | convolution |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | fire-module |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | relu |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | dropout |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | xavier-initialization |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | squeezenet |
| computer vision | image, video | segmentation | sementic segmentation | pointseg-real-time-semantic-segmentation | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | relu |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | resnet |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | deeplab |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | dilated-convolution |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | crf |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | dense-connections |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | global-average-pooling |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | residual-connection |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | bottleneck-residual-block |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | feedforward-network |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | convolution |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | residual-block |
| computer vision | image, video | segmentation | sementic segmentation | in-pixels-we-trust-from-pixel-labeling-to | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | evaluating-merging-strategies-for-sampling | dropout |
| computer vision | image, video | segmentation | sementic segmentation | boundary-guided-feature-aggregation-network | convolution |
| computer vision | image, video | segmentation | sementic segmentation | boundary-guided-feature-aggregation-network | fcn |
| computer vision | image, video | segmentation | sementic segmentation | boundary-guided-feature-aggregation-network | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | vgg-16 |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | softmax |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | convolution |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | max-pooling |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | segnet |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | relu |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | he-initialization |
| computer vision | image, video | segmentation | sementic segmentation | composite-binary-decomposition-networks | batch-normalization |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text | 1x1-convolution |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text | spatial-pyramid-pooling |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text | non-maximum-suppression |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text | convolution |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text | ssd |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text | aspp |
| computer vision | image, video | segmentation | sementic segmentation | pixel-anchor-a-fast-oriented-scene-text |