DJW cdece0b32a 第一次提交 | 10 ماه پیش | |
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coco_wholebody_hand | 10 ماه پیش | |
freihand2d | 10 ماه پیش | |
onehand10k | 10 ماه پیش | |
rhd2d | 10 ماه پیش | |
README.md | 10 ماه پیش |
Top-down methods divide the task into two stages: object detection, followed by single-object pose estimation given object bounding boxes. Instead of estimating keypoint coordinates directly, the pose estimator will produce heatmaps which represent the likelihood of being a keypoint, following the paradigm introduced in Simple Baselines for Human Pose Estimation and Tracking.
Results on COCO-WholeBody-Hand val set
Model | Input Size | PCK@0.2 | AUC | EPE | Details and Download |
---|---|---|---|---|---|
HRNetv2-w18+Dark | 256x256 | 0.814 | 0.840 | 4.37 | hrnetv2_dark_coco_wholebody_hand.md |
HRNetv2-w18 | 256x256 | 0.813 | 0.840 | 4.39 | hrnetv2_coco_wholebody_hand.md |
HourglassNet | 256x256 | 0.804 | 0.835 | 4.54 | hourglass_coco_wholebody_hand.md |
SCNet-50 | 256x256 | 0.803 | 0.834 | 4.55 | scnet_coco_wholebody_hand.md |
ResNet-50 | 256x256 | 0.800 | 0.833 | 4.64 | resnet_coco_wholebody_hand.md |
LiteHRNet-18 | 256x256 | 0.795 | 0.830 | 4.77 | litehrnet_coco_wholebody_hand.md |
MobileNet-v2 | 256x256 | 0.795 | 0.829 | 4.77 | mobilenetv2_coco_wholebody_hand.md |
Results on FreiHand val & test set
Model | Input Size | PCK@0.2 | AUC | EPE | Details and Download |
---|---|---|---|---|---|
ResNet-50 | 224x224 | 0.999 | 0.868 | 3.27 | resnet_freihand2d.md |
Results on OneHand10K val set
Model | Input Size | PCK@0.2 | AUC | EPE | Details and Download |
---|---|---|---|---|---|
HRNetv2-w18+Dark | 256x256 | 0.990 | 0.572 | 23.96 | hrnetv2_dark_onehand10k.md |
HRNetv2-w18+UDP | 256x256 | 0.990 | 0.571 | 23.88 | hrnetv2_udp_onehand10k.md |
HRNetv2-w18 | 256x256 | 0.990 | 0.567 | 24.26 | hrnetv2_onehand10k.md |
ResNet-50 | 256x256 | 0.989 | 0.555 | 25.16 | resnet_onehand10k.md |
MobileNet-v2 | 256x256 | 0.986 | 0.537 | 28.56 | mobilenetv2_onehand10k.md |
Results on RHD test set
Model | Input Size | PCK@0.2 | AUC | EPE | Details and Download |
---|---|---|---|---|---|
HRNetv2-w18+Dark | 256x256 | 0.992 | 0.903 | 2.18 | hrnetv2_dark_rhd2d.md |
HRNetv2-w18+UDP | 256x256 | 0.992 | 0.902 | 2.19 | hrnetv2_udp_rhd2d.md |
HRNetv2-w18 | 256x256 | 0.992 | 0.902 | 2.21 | hrnetv2_rhd2d.md |
ResNet-50 | 256x256 | 0.991 | 0.898 | 2.32 | resnet_rhd2d.md |
MobileNet-v2 | 256x256 | 0.985 | 0.883 | 2.79 | mobilenetv2_rhd2d.md |