Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

Benchmark Model Rank Results
face-verification-on-lfwArcFaceR50 + EM-FRR#1BFAR: 33.65BFRR: 5.89FRR@FAR(%): 0.100
face-verification-on-lfwArcFaceR50 + EM-C#2BFAR: 2.44BFRR: 9.18FRR@FAR(%): 0.164
face-verification-on-lfwArcFaceR50 + EM-FAR#3BFAR: 2.11BFRR: 11.22FRR@FAR(%): 0.151