Fashion 2D Keypoint¶
Deepfashion Dataset¶
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 | 256x192 | 95.4 | 57.8 | 16.8 | ckpt | log |
lower | pose_resnet_50 | 256x192 | 96.5 | 74.4 | 10.5 | ckpt | log |
full | pose_resnet_50 | 256x192 | 97.7 | 66.4 | 12.7 | ckpt | log |
Note: Due to the time constraints, we have only trained resnet50 models. We warmly welcome any contributions if you can successfully reproduce the results from the paper!
Topdown Heatmap + Hrnet on Deepfashion¶
HRNet (CVPR'2019)
@inproceedings{sun2019deep,
title={Deep high-resolution representation learning for human pose estimation},
author={Sun, Ke and Xiao, Bin and Liu, Dong and Wang, Jingdong},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={5693--5703},
year={2019}
}
UDP (CVPR'2020)
@InProceedings{Huang_2020_CVPR,
author = {Huang, Junjie and Zhu, Zheng and Guo, Feng and Huang, Guan},
title = {The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation},
booktitle = {The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
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_hrnet_w48_udp | 256x192 | 96.1 | 60.9 | 15.1 | ckpt | log |
lower | pose_hrnet_w48_udp | 256x192 | 97.8 | 76.1 | 8.9 | ckpt | log |
full | pose_hrnet_w48_udp | 256x192 | 98.3 | 67.3 | 11.7 | ckpt | log |
Note: Due to the time constraints, we have only trained resnet50 models. We warmly welcome any contributions if you can successfully reproduce the results from the paper!
Deepfashion2 Dataset¶
Topdown Heatmap + Res50 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 | 256x192 | 0.988 | 0.703 | 10.2 | ckpt | log |
long_sleeved_shirt | pose_resnet_50 | 256x192 | 0.973 | 0.587 | 16.6 | ckpt | log |
short_sleeved_outwear | pose_resnet_50 | 256x192 | 0.966 | 0.408 | 24.0 | ckpt | log |
long_sleeved_outwear | pose_resnet_50 | 256x192 | 0.987 | 0.517 | 18.1 | ckpt | log |
vest | pose_resnet_50 | 256x192 | 0.981 | 0.643 | 12.7 | ckpt | log |
sling | pose_resnet_50 | 256x192 | 0.940 | 0.557 | 21.6 | ckpt | log |
shorts | pose_resnet_50 | 256x192 | 0.975 | 0.682 | 12.4 | ckpt | log |
trousers | pose_resnet_50 | 256x192 | 0.973 | 0.625 | 14.8 | ckpt | log |
skirt | pose_resnet_50 | 256x192 | 0.952 | 0.653 | 16.6 | ckpt | log |
short_sleeved_dress | pose_resnet_50 | 256x192 | 0.980 | 0.603 | 15.6 | ckpt | log |
long_sleeved_dress | pose_resnet_50 | 256x192 | 0.976 | 0.518 | 20.1 | ckpt | log |
vest_dress | pose_resnet_50 | 256x192 | 0.980 | 0.600 | 16.0 | ckpt | log |
sling_dress | pose_resnet_50 | 256x192 | 0.967 | 0.544 | 19.5 | ckpt | log |