Consistent Instance False Positive Improves Fairness in Face R | Data Science Digest

Consistent Instance False Positive Improves Fairness in Face Recognition

In this paper, Xingkun Xu et al. propose a false positive rate penalty loss, a novel method to mitigate face recognition bias by increasing the consistency of instance False Positive Rate (FPR). The method requires no demographic annotations, allowing to mitigate bias among demographic groups divided by various attributes.

Paper — https://bit.ly/361fHiQ
Code — https://bit.ly/2UKAqoF