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.
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},
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}
}
Contact
To ask questions or report issues, please open an issue on the issues tracker.