Hand Models¶

Distribution-aware coordinate representation for human pose estimation¶

Introduction¶

@inproceedings{zhang2020distribution,
  title={Distribution-aware coordinate representation for human pose estimation},
  author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7093--7102},
  year={2020}
}

Results and models¶

2d Hand Keypoint Estimation¶

Results on OneHand10K val set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_hrnetv2_w18_dark	256x256	0.990	0.573	23.84	ckpt	log

Results on CMU Panoptic (MPII+NZSL val set)¶

Arch	Input Size	PCKh@0.7	AUC	EPE	ckpt	log
pose_hrnetv2_w18_dark	256x256	0.999	0.745	7.77	ckpt	log

Results on RHD test set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_hrnetv2_w18_dark	256x256	0.992	0.903	2.17	ckpt	log

Deeppose: Human pose estimation via deep neural networks¶

Introduction¶

@inproceedings{toshev2014deeppose,
  title={Deeppose: Human pose estimation via deep neural networks},
  author={Toshev, Alexander and Szegedy, Christian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1653--1660},
  year={2014}
}

Results and models¶

2d Hand Keypoint Estimation¶

Results on OneHand10K val set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
deeppose_resnet_50	256x256	0.990	0.486	34.28	ckpt	log

Results on CMU Panoptic (MPII+NZSL val set)¶

Arch	Input Size	PCKh@0.7	AUC	EPE	ckpt	log
deeppose_resnet_50	256x256	0.999	0.686	9.36	ckpt	log

Results on RHD test set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
deeppose_resnet_50	256x256	0.988	0.865	3.29	ckpt	log

Deep high-resolution representation learning for visual recognition¶

Introduction¶

@article{WangSCJDZLMTWLX19,
  title={Deep High-Resolution Representation Learning for Visual Recognition},
  author={Jingdong Wang and Ke Sun and Tianheng Cheng and
          Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
          Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
  journal   = {TPAMI}
  year={2019}
}

Results and models¶

2d Hand Keypoint Estimation¶

Results on OneHand10K val set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_hrnetv2_w18	256x256	0.990	0.568	24.16	ckpt	log

Results on CMU Panoptic (MPII+NZSL val set)¶

Arch	Input Size	PCKh@0.7	AUC	EPE	ckpt	log
pose_hrnetv2_w18	256x256	0.999	0.744	7.79	ckpt	log

Results on RHD test set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_hrnetv2_w18	256x256	0.992	0.902	2.21	ckpt	log

Mobilenetv2: Inverted residuals and linear bottlenecks¶

Introduction¶

@inproceedings{sandler2018mobilenetv2,
  title={Mobilenetv2: Inverted residuals and linear bottlenecks},
  author={Sandler, Mark and Howard, Andrew and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4510--4520},
  year={2018}
}

Results and models¶

2d Hand Pose Estimation¶

Results on OneHand10K val set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_mobilenet_v2	256x256	0.986	0.537	28.60	ckpt	log

Results on CMU Panoptic (MPII+NZSL val set)¶

Arch	Input Size	PCKh@0.7	AUC	EPE	ckpt	log
pose_mobilenet_v2	256x256	0.998	0.694	9.70	ckpt	log

Results on RHD test set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_mobilenet_v2	256x256	0.985	0.883	2.80	ckpt	log

Simple baselines for human pose estimation and tracking¶

Introduction¶

@inproceedings{xiao2018simple,
  title={Simple baselines for human pose estimation and tracking},
  author={Xiao, Bin and Wu, Haiping and Wei, Yichen},
  booktitle={Proceedings of the European conference on computer vision (ECCV)},
  pages={466--481},
  year={2018}
}

Results and models¶

2d Hand Pose Estimation¶

Results on OneHand10K val set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_resnet_50	256x256	0.989	0.555	25.19	ckpt	log

Results on FreiHand val & test set¶

Set	Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
val	pose_resnet_50	224x224	0.993	0.868	3.25	ckpt	log
test	pose_resnet_50	224x224	0.992	0.868	3.27	ckpt	log

Results on CMU Panoptic (MPII+NZSL val set)¶

Arch	Input Size	PCKh@0.7	AUC	EPE	ckpt	log
pose_resnet_50	256x256	0.999	0.713	9.00	ckpt	log

Results on InterHand2.6M val & test set¶

Train Set	Set	Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
Human_annot	val(M)	pose_resnet_50	256x256	0.973	0.828	5.15	ckpt	log
Human_annot	test(H)	pose_resnet_50	256x256	0.973	0.826	5.27	ckpt	log
Human_annot	test(M)	pose_resnet_50	256x256	0.975	0.841	4.90	ckpt	log
Human_annot	test(H+M)	pose_resnet_50	256x256	0.975	0.839	4.97	ckpt	log
Machine_annot	val(M)	pose_resnet_50	256x256	0.970	0.824	5.39	ckpt	log
Machine_annot	test(H)	pose_resnet_50	256x256	0.969	0.821	5.52	ckpt	log
Machine_annot	test(M)	pose_resnet_50	256x256	0.972	0.838	5.03	ckpt	log
Machine_annot	test(H+M)	pose_resnet_50	256x256	0.972	0.837	5.11	ckpt	log
All	val(M)	pose_resnet_50	256x256	0.977	0.840	4.66	ckpt	log
All	test(H)	pose_resnet_50	256x256	0.979	0.839	4.65	ckpt	log
All	test(M)	pose_resnet_50	256x256	0.979	0.838	4.42	ckpt	log
All	test(H+M)	pose_resnet_50	256x256	0.979	0.851	4.46	ckpt	log

Results on RHD test set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_resnet_50	224x224	0.992	0.896	2.38	ckpt	log
pose_resnet_50	256x256	0.991	0.898	2.33	ckpt	log

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation¶

Introduction¶

@InProceedings{Huang_2020_CVPR,
author = {Huang, Junjie and Zhu, Zheng and Guo, Feng and Huang, Guan},
title = {The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}

Note that, UDP also adopts the unbiased encoding/decoding algorithm of DARK.

Results and models¶

2d Hand Keypoint Estimation¶

Results on OneHand10K val set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_hrnetv2_w18_udp	256x256	0.990	0.572	23.87	ckpt	log

Results on CMU Panoptic (MPII+NZSL val set)¶

Arch	Input Size	PCKh@0.7	AUC	EPE	ckpt	log
pose_hrnetv2_w18_udp	256x256	0.998	0.742	7.84	ckpt	log

Results on RHD test set¶

Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
pose_hrnetv2_w18_udp	256x256	0.992	0.902	2.21	ckpt	log