Fashion¶

Deepfashion Dataset¶

Deeppose + Resnet on Deepfashion¶

DeepPose (CVPR'2014)

@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}
}

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}
}

DeepFashion (CVPR'2016)

@inproceedings{liuLQWTcvpr16DeepFashion,
 author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou},
 title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},
 booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 month = {June},
 year = {2016}
}

DeepFashion (ECCV'2016)

@inproceedings{liuYLWTeccv16FashionLandmark,
 author = {Liu, Ziwei and Yan, Sijie and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
 title = {Fashion Landmark Detection in the Wild},
 booktitle = {European Conference on Computer Vision (ECCV)},
 month = {October},
 year = {2016}
 }

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

Topdown Heatmap + Resnet on Deepfashion¶

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}
}

DeepFashion (CVPR'2016)

@inproceedings{liuLQWTcvpr16DeepFashion,
 author = {Liu, Ziwei and Luo, Ping and Qiu, Shi and Wang, Xiaogang and Tang, Xiaoou},
 title = {DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations},
 booktitle = {Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 month = {June},
 year = {2016}
}

DeepFashion (ECCV'2016)

@inproceedings{liuYLWTeccv16FashionLandmark,
 author = {Liu, Ziwei and Yan, Sijie and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
 title = {Fashion Landmark Detection in the Wild},
 booktitle = {European Conference on Computer Vision (ECCV)},
 month = {October},
 year = {2016}
 }

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

Deepfashion2 Dataset¶

Topdown Heatmap + Resnet on Deepfashion2¶

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}
}

DeepFashion2 (CVPR'2019)

@article{DeepFashion2,
  author = {Yuying Ge and Ruimao Zhang and Lingyun Wu and Xiaogang Wang and Xiaoou Tang and Ping Luo},
  title={A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images},
  journal={CVPR},
  year={2019}
}

Results on DeepFashion2 val set

Set	Arch	Input Size	PCK@0.2	AUC	EPE	ckpt	log
short_sleeved_shirt	pose_resnet_50	256x256	0.988	0.703	10.2	ckpt	log
long_sleeved_shirt	pose_resnet_50	256x256	0.973	0.587	16.5	ckpt	log
short_sleeved_outwear	pose_resnet_50	256x256	0.966	0.408	24.0	ckpt	log
long_sleeved_outwear	pose_resnet_50	256x256	0.987	0.517	18.1	ckpt	log
vest	pose_resnet_50	256x256	0.981	0.643	12.7	ckpt	log
sling	pose_resnet_50	256x256	0.940	0.557	21.6	ckpt	log
shorts	pose_resnet_50	256x256	0.975	0.682	12.4	ckpt	log
trousers	pose_resnet_50	256x256	0.973	0.625	14.8	ckpt	log
skirt	pose_resnet_50	256x256	0.952	0.653	16.6	ckpt	log
short_sleeved_dress	pose_resnet_50	256x256	0.980	0.603	15.6	ckpt	log
long_sleeved_dress	pose_resnet_50	256x256	0.976	0.518	20.1	ckpt	log
vest_dress	pose_resnet_50	256x256	0.980	0.600	16.0	ckpt	log
sling_dress	pose_resnet_50	256x256	0.967	0.544	19.5	ckpt	log