Consistent Instance False Positive Improves Fairness in Face Recognition

Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui 0001. Consistent Instance False Positive Improves Fairness in Face Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 578-586, Computer Vision Foundation / IEEE, 2021. [doi]

@inproceedings{XuHSLLHL021,
  title = {Consistent Instance False Positive Improves Fairness in Face Recognition},
  author = {Xingkun Xu and Yuge Huang and Pengcheng Shen and Shaoxin Li and Jilin Li and Feiyue Huang and Yong Li and Zhen Cui 0001},
  year = {2021},
  url = {https://openaccess.thecvf.com/content/CVPR2021/html/Xu_Consistent_Instance_False_Positive_Improves_Fairness_in_Face_Recognition_CVPR_2021_paper.html},
  researchr = {https://researchr.org/publication/XuHSLLHL021},
  cites = {0},
  citedby = {0},
  pages = {578-586},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
  publisher = {Computer Vision Foundation / IEEE},
}