mmpose/configs/body_2d_keypoint/topdown_heatmap/coco/rsn_coco.md

RSN (ECCV'2020)

@misc{cai2020learning,
    title={Learning Delicate Local Representations for Multi-Person Pose Estimation},
    author={Yuanhao Cai and Zhicheng Wang and Zhengxiong Luo and Binyi Yin and Angang Du and Haoqian Wang and Xinyu Zhou and Erjin Zhou and Xiangyu Zhang and Jian Sun},
    year={2020},
    eprint={2003.04030},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

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
rsn_18	256x192	0.704	0.887	0.781	0.773	0.927	ckpt	log
rsn_50	256x192	0.724	0.894	0.799	0.790	0.935	ckpt	log
2xrsn_50	256x192	0.748	0.900	0.821	0.810	0.939	ckpt	log
3xrsn_50	256x192	0.750	0.900	0.824	0.814	0.941	ckpt	log