mmpose/configs/body_2d_keypoint/topdown_heatmap/coco/hrnet_coco.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 (ECCV'2014)

@inproceedings{lin2014microsoft,
  title={Microsoft coco: Common objects in context},
  author={Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Doll{\'a}r, Piotr and Zitnick, C Lawrence},
  booktitle={European conference on computer vision},
  pages={740--755},
  year={2014},
  organization={Springer}
}

Results on COCO val2017 with detector having human AP of 56.4 on COCO val2017 dataset

Arch	Input Size	AP	AP50	AP75	AR	AR50	ckpt	log
pose_hrnet_w32	256x192	0.749	0.906	0.821	0.804	0.945	ckpt	log
pose_hrnet_w32	384x288	0.761	0.908	0.826	0.811	0.944	ckpt	log
pose_hrnet_w48	256x192	0.756	0.908	0.826	0.809	0.945	ckpt	log
pose_hrnet_w48	384x288	0.767	0.911	0.832	0.817	0.947	ckpt	log