A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection

Jiang-Jing Lv, Xiaohu Shao, Junliang Xing, Cheng Cheng, Xi Zhou. A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection. In 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017. pages 3691-3700, IEEE Computer Society, 2017. [doi]

@inproceedings{LvSXCZ17,
  title = {A Deep Regression Architecture with Two-Stage Re-initialization for High Performance Facial Landmark Detection},
  author = {Jiang-Jing Lv and Xiaohu Shao and Junliang Xing and Cheng Cheng and Xi Zhou},
  year = {2017},
  doi = {10.1109/CVPR.2017.393},
  url = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2017.393},
  researchr = {https://researchr.org/publication/LvSXCZ17},
  cites = {0},
  citedby = {0},
  pages = {3691-3700},
  booktitle = {2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Honolulu, HI, USA, July 21-26, 2017},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-0457-1},
}