README.md

ResNeSt: Split-Attention Networks

Introduction

@article{zhang2020resnest,
title={ResNeSt: Split-Attention Networks},
author={Zhang, Hang and Wu, Chongruo and Zhang, Zhongyue and Zhu, Yi and Zhang, Zhi and Lin, Haibin and Sun, Yue and He, Tong and Muller, Jonas and Manmatha, R. and Li, Mu and Smola, Alexander},
journal={arXiv preprint arXiv:2004.08955},
year={2020}
}

Results and models

2d Human Pose Estimation

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_resnest_50	256x192	0.721	0.899	0.802	0.776	0.938	ckpt	log
pose_resnest_50	384x288	0.737	0.900	0.811	0.789	0.938	ckpt	log
pose_resnest_101	256x192	0.725	0.899	0.807	0.781	0.939	ckpt	log
pose_resnest_101	384x288	0.746	0.906	0.820	0.798	0.943	ckpt	log