mmpose/configs/animal_2d_keypoint/topdown_heatmap/ak/hrnet_animalkingdom.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}
}

AnimalKingdom (CVPR'2022)

@InProceedings{
    Ng_2022_CVPR,
    author    = {Ng, Xun Long and Ong, Kian Eng and Zheng, Qichen and Ni, Yun and Yeo, Si Yong and Liu, Jun},
    title     = {Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    month     = {June},
    year      = {2022},
    pages     = {19023-19034}
 }

Results on AnimalKingdom validation set

Arch	Input Size	PCK(0.05)	Official Repo	Paper	ckpt	log
P1_hrnet_w32	256x256	0.6323	0.6342	0.6606	ckpt	log
P2_hrnet_w32	256x256	0.3741	0.3726	0.393	ckpt	log
P3_mammals_hrnet_w32	256x256	0.571	0.5719	0.6159	ckpt	log
P3_amphibians_hrnet_w32	256x256	0.5358	0.5432	0.5674	ckpt	log
P3_reptiles_hrnet_w32	256x256	0.51	0.5	0.5606	ckpt	log
P3_birds_hrnet_w32	256x256	0.7671	0.7636	0.7735	ckpt	log
P3_fishes_hrnet_w32	256x256	0.6406	0.636	0.6825	ckpt	log