mmpose/configs/body_2d_keypoint/yoloxpose/coco/yoloxpose_coco.md

YOLO-Pose (CVPRW'2022)

@inproceedings{maji2022yolo,
  title={Yolo-pose: Enhancing yolo for multi person pose estimation using object keypoint similarity loss},
  author={Maji, Debapriya and Nagori, Soyeb and Mathew, Manu and Poddar, Deepak},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={2637--2646},
  year={2022}
}

YOLOX

@article{ge2021yolox,
  title={Yolox: Exceeding yolo series in 2021},
  author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
  journal={arXiv preprint arXiv:2107.08430},
  year={2021}
}

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

Arch	Input Size	AP	AP50	AP75	AR	AR50	ckpt	log
yoloxpose_tiny	416x416	0.526	0.793	0.556	0.571	0.833	ckpt	log
yoloxpose_s	640x640	0.641	0.872	0.702	0.682	0.902	ckpt	log
yoloxpose_m	640x640	0.695	0.899	0.766	0.733	0.926	ckpt	log
yoloxpose_l	640x640	0.712	0.901	0.782	0.749	0.926	ckpt	log