AdaFace: Quality Adaptive Margin for Face Recognition

Benchmark Model Rank Results
face-recognition-on-ijb-bArcFace + MS1MV2 + R100#1Rank-1: 0.9450TAR @ FAR=1e-5: 0.8933
face-recognition-on-ijb-bAdaFace + MS1MV3 + R100#4TAR @ FAR=0.0001: 0.9425
face-recognition-on-lfwArcFace + MS1MV2 + R100#3Accuracy: 0.9983
face-recognition-on-lfwAdaFace + WebFace4M + R100#5Accuracy: 0.9980
face-verification-on-ijb-bAdaFace (WebFace4M)#10TAR@FAR=0.0001: 96.03
face-verification-on-ijb-bAdaFace (MS1MV3)#11TAR@FAR=0.0001: 95.84
face-verification-on-ijb-bAdaFace (MS1MV2)#12TAR@FAR=0.0001: 95.67
face-verification-on-ijb-cAdaFace (WebFace4M)#11TAR @ FAR=1e-4: 97.39%
face-verification-on-ijb-cAdaFace (MS1MV3)#14TAR @ FAR=1e-4: 97.09%
face-verification-on-ijb-cAdaFace (MS1MV2)#15TAR @ FAR=1e-4: 96.89%