This project contains several landmark detection algorithms, implemented in PyTorch.
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.
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},
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},
year={2018}
}
To ask questions or report issues, please open an issue on the issues tracker.