Fashion Models

Deeppose: Human pose estimation via deep neural networks

Introduction

@inproceedings{toshev2014deeppose,
  title={Deeppose: Human pose estimation via deep neural networks},
  author={Toshev, Alexander and Szegedy, Christian},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={1653--1660},
  year={2014}
}

Results and models

2d Fashion Landmark Detection

Results on DeepFashion val set

Set	Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
upper	deeppose_resnet_50	256x256	0.965	0.535	17.2	ckpt	log
lower	deeppose_resnet_50	256x256	0.971	0.678	11.8	ckpt	log
full	deeppose_resnet_50	256x256	0.983	0.602	14.0	ckpt	log

Simple baselines for human pose estimation and tracking

Introduction

@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}
}

Results and models

2d Fashion Landmark Detection

Results on DeepFashion val set

Set	Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
upper	pose_resnet_50	256x256	0.954	0.578	16.8	ckpt	log
lower	pose_resnet_50	256x256	0.965	0.744	10.5	ckpt	log
full	pose_resnet_50	256x256	0.977	0.664	12.7	ckpt	log