Face¶
300w Dataset¶
Topdown Heatmap + Hrnetv2 on 300w¶
HRNetv2 (TPAMI'2019)
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal={TPAMI},
year={2019}
}
300W (IMAVIS'2016)
@article{sagonas2016300,
title={300 faces in-the-wild challenge: Database and results},
author={Sagonas, Christos and Antonakos, Epameinondas and Tzimiropoulos, Georgios and Zafeiriou, Stefanos and Pantic, Maja},
journal={Image and vision computing},
volume={47},
pages={3--18},
year={2016},
publisher={Elsevier}
}
Checkpoints will be revealed after mmpose reaches 1k star :D
Aflw Dataset¶
Topdown Heatmap + Hrnetv2 + Dark on Aflw¶
HRNetv2 (TPAMI'2019)
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal={TPAMI},
year={2019}
}
DarkPose (CVPR'2020)
@inproceedings{zhang2020distribution,
title={Distribution-aware coordinate representation for human pose estimation},
author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={7093--7102},
year={2020}
}
AFLW (ICCVW'2011)
@inproceedings{koestinger2011annotated,
title={Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization},
author={Koestinger, Martin and Wohlhart, Paul and Roth, Peter M and Bischof, Horst},
booktitle={2011 IEEE international conference on computer vision workshops (ICCV workshops)},
pages={2144--2151},
year={2011},
organization={IEEE}
}
Results on AFLW dataset
The model is trained on AFLW train and evaluated on AFLW full and frontal.
Arch | Input Size | NMEfull | NMEfrontal | ckpt | log |
---|---|---|---|---|---|
pose_hrnetv2_w18_dark | 256x256 | 1.41 | 1.27 | ckpt | log |
Topdown Heatmap + Hrnetv2 on Aflw¶
HRNetv2 (TPAMI'2019)
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal={TPAMI},
year={2019}
}
AFLW (ICCVW'2011)
@inproceedings{koestinger2011annotated,
title={Annotated facial landmarks in the wild: A large-scale, real-world database for facial landmark localization},
author={Koestinger, Martin and Wohlhart, Paul and Roth, Peter M and Bischof, Horst},
booktitle={2011 IEEE international conference on computer vision workshops (ICCV workshops)},
pages={2144--2151},
year={2011},
organization={IEEE}
}
Results on AFLW dataset
The model is trained on AFLW train and evaluated on AFLW full and frontal.
Arch | Input Size | NMEfull | NMEfrontal | ckpt | log |
---|---|---|---|---|---|
pose_hrnetv2_w18 | 256x256 | 1.41 | 1.27 | ckpt | log |
Cofw Dataset¶
Topdown Heatmap + Hrnetv2 on Cofw¶
HRNetv2 (TPAMI'2019)
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal={TPAMI},
year={2019}
}
COFW (ICCV'2013)
@inproceedings{burgos2013robust,
title={Robust face landmark estimation under occlusion},
author={Burgos-Artizzu, Xavier P and Perona, Pietro and Doll{\'a}r, Piotr},
booktitle={Proceedings of the IEEE international conference on computer vision},
pages={1513--1520},
year={2013}
}
Checkpoints will be revealed after mmpose reaches 1k star :D
WFLW Dataset¶
Deeppose + Resnet + Wingloss on WFLW¶
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}
}
Wingloss (CVPR'2018)
@inproceedings{feng2018wing,
title={Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks},
author={Feng, Zhen-Hua and Kittler, Josef and Awais, Muhammad and Huber, Patrik and Wu, Xiao-Jun},
booktitle={Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on},
year={2018},
pages ={2235-2245},
organization={IEEE}
}
WFLW (CVPR'2018)
@inproceedings{wu2018look,
title={Look at boundary: A boundary-aware face alignment algorithm},
author={Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={2129--2138},
year={2018}
}
Results on WFLW dataset
The model is trained on WFLW train.
Arch | Input Size | NMEtest | NMEpose | NMEillumination | NMEocclusion | NMEblur | NMEmakeup | NMEexpression | ckpt | log |
---|---|---|---|---|---|---|---|---|---|---|
deeppose_res50_wingloss | 256x256 | 4.64 | 8.25 | 4.59 | 5.56 | 5.26 | 4.59 | 5.07 | ckpt | log |
Deeppose + Resnet on WFLW¶
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}
}
WFLW (CVPR'2018)
@inproceedings{wu2018look,
title={Look at boundary: A boundary-aware face alignment algorithm},
author={Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={2129--2138},
year={2018}
}
Results on WFLW dataset
The model is trained on WFLW train.
Arch | Input Size | NMEtest | NMEpose | NMEillumination | NMEocclusion | NMEblur | NMEmakeup | NMEexpression | ckpt | log |
---|---|---|---|---|---|---|---|---|---|---|
deeppose_res50 | 256x256 | 4.85 | 8.50 | 4.81 | 5.69 | 5.45 | 4.82 | 5.20 | ckpt | log |
Topdown Heatmap + Hrnetv2 on WFLW¶
HRNetv2 (TPAMI'2019)
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal={TPAMI},
year={2019}
}
WFLW (CVPR'2018)
@inproceedings{wu2018look,
title={Look at boundary: A boundary-aware face alignment algorithm},
author={Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={2129--2138},
year={2018}
}
Results on WFLW dataset
The model is trained on WFLW train.
Arch | Input Size | NMEtest | NMEpose | NMEillumination | NMEocclusion | NMEblur | NMEmakeup | NMEexpression | ckpt | log |
---|---|---|---|---|---|---|---|---|---|---|
pose_hrnetv2_w18 | 256x256 | 4.06 | 6.98 | 3.99 | 4.83 | 4.59 | 3.92 | 4.33 | ckpt | log |
Topdown Heatmap + Hrnetv2 + Dark on WFLW¶
HRNetv2 (TPAMI'2019)
@article{WangSCJDZLMTWLX19,
title={Deep High-Resolution Representation Learning for Visual Recognition},
author={Jingdong Wang and Ke Sun and Tianheng Cheng and
Borui Jiang and Chaorui Deng and Yang Zhao and Dong Liu and Yadong Mu and
Mingkui Tan and Xinggang Wang and Wenyu Liu and Bin Xiao},
journal={TPAMI},
year={2019}
}
DarkPose (CVPR'2020)
@inproceedings{zhang2020distribution,
title={Distribution-aware coordinate representation for human pose estimation},
author={Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={7093--7102},
year={2020}
}
WFLW (CVPR'2018)
@inproceedings{wu2018look,
title={Look at boundary: A boundary-aware face alignment algorithm},
author={Wu, Wayne and Qian, Chen and Yang, Shuo and Wang, Quan and Cai, Yici and Zhou, Qiang},
booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
pages={2129--2138},
year={2018}
}
Results on WFLW dataset
The model is trained on WFLW train.
Arch | Input Size | NMEtest | NMEpose | NMEillumination | NMEocclusion | NMEblur | NMEmakeup | NMEexpression | ckpt | log |
---|---|---|---|---|---|---|---|---|---|---|
pose_hrnetv2_w18_dark | 256x256 | 3.98 | 6.99 | 3.96 | 4.78 | 4.57 | 3.87 | 4.30 | ckpt | log |