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

ResNext (CVPR'2017)

@inproceedings{xie2017aggregated,
  title={Aggregated residual transformations for deep neural networks},
  author={Xie, Saining and Girshick, Ross and Doll{\'a}r, Piotr and Tu, Zhuowen and He, Kaiming},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1492--1500},
  year={2017}
}

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_resnext_50	256x192	0.715	0.897	0.791	0.771	0.935	ckpt	log
pose_resnext_50	384x288	0.724	0.899	0.794	0.777	0.936	ckpt	log
pose_resnext_101	256x192	0.726	0.900	0.801	0.781	0.939	ckpt	log
pose_resnext_101	384x288	0.744	0.903	0.815	0.794	0.939	ckpt	log
pose_resnext_152	256x192	0.730	0.903	0.808	0.785	0.940	ckpt	log
pose_resnext_152	384x288	0.742	0.904	0.810	0.794	0.940	ckpt	log