mmpose/configs/wholebody_2d_keypoint/topdown_heatmap/coco-wholebody/hrnet_coco-wholebody.md

HRNet (CVPR'2019)

@inproceedings{sun2019deep,
  title={Deep high-resolution representation learning for human pose estimation},
  author={Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={5693--5703},
  year={2019}
}

COCO-WholeBody (ECCV'2020)

@inproceedings{jin2020whole,
  title={Whole-Body Human Pose Estimation in the Wild},
  author={Jin, Sheng and Xu, Lumin and Xu, Jin and Wang, Can and Liu, Wentao and Qian, Chen and Ouyang, Wanli and Luo, Ping},
  booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},
  year={2020}
}

Results on COCO-WholeBody v1.0 val with detector having human AP of 56.4 on COCO val2017 dataset

Arch	Input Size	Body AP	Body AR	Foot AP	Foot AR	Face AP	Face AR	Hand AP	Hand AR	Whole AP	Whole AR	ckpt	log
pose_hrnet_w32	256x192	0.678	0.755	0.543	0.661	0.630	0.708	0.467	0.566	0.536	0.636	ckpt	log
pose_hrnet_w32	384x288	0.700	0.772	0.585	0.691	0.726	0.783	0.515	0.603	0.586	0.673	ckpt	log
pose_hrnet_w48	256x192	0.701	0.776	0.675	0.787	0.656	0.743	0.535	0.639	0.579	0.681	ckpt	log
pose_hrnet_w48	384x288	0.722	0.791	0.696	0.801	0.776	0.834	0.587	0.678	0.632	0.717	ckpt	log