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

SimpleBaseline2D (ECCV'2018)

@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}
}

ResNet (CVPR'2016)

@inproceedings{he2016deep,
  title={Deep residual learning for image recognition},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={770--778},
  year={2016}
}

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_resnet_50	256x192	0.718	0.898	0.796	0.774	0.934	ckpt	log
pose_resnet_50	384x288	0.731	0.900	0.799	0.782	0.937	ckpt	log
pose_resnet_101	256x192	0.728	0.904	0.809	0.783	0.942	ckpt	log
pose_resnet_101	384x288	0.749	0.906	0.817	0.799	0.941	ckpt	log
pose_resnet_152	256x192	0.736	0.904	0.818	0.791	0.942	ckpt	log
pose_resnet_152	384x288	0.750	0.908	0.821	0.800	0.942	ckpt	log