Landmark Detection

This project contains several landmark detection algorithms, implemented in PyTorch.

Style Aggregated Network for Facial Landmark Detection

The training and testing codes for SAN (CVPR 2018) are located in the SAN directory.

Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors

The training and testing codes for Supervision-by-Registration (CVPR 2018) are located in the SBR directory.

Teacher Supervises Students How to Learn from Partially Labeled Images for Facial Landmark Detection

The model codes for Teacher Supervises Students (TS3) (ICCV 2019) are located in the TS3 directory.

Citation

If this project helps your research, please cite the following papers:

@inproceedings{dong2018san,
   title={Style Aggregated Network for Facial Landmark Detection},
   author={Dong, Xuanyi and Yan, Yan and Ouyang, Wanli and Yang, Yi},
   booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
   pages={379--388},
   doi={10.1109/CVPR.2018.00047},
   year={2018}
}
@inproceedings{dong2018sbr,
  title={{Supervision-by-Registration}: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors},
  author={Dong, Xuanyi and Yu, Shoou-I and Weng, Xinshuo and Wei, Shih-En and Yang, Yi and Sheikh, Yaser},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={360--368},
  doi={10.1109/CVPR.2018.00045},
  year={2018}
}
@inproceedings{dong2019teacher,
  title={Teacher Supervises Students How to Learn from Partially Labeled Images for Facial Landmark Detection},
  author={Dong, Xuanyi and Yang, Yi},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
  year={2019}
}

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