Learning to Attract and Repel: Dual Quality Margin Learning for Face Recognition (DQM-Face)

Benchmark Model Rank Results
face-recognition-on-agedb-30DQM-Face α=0.5#7Accuracy: 98.35
face-recognition-on-cfp-fpDQM-Face α=0.5#10Accuracy: 98.83
face-recognition-on-cplfwDQM-Face (α=0.5)#11Accuracy: 93.30
face-recognition-on-cplfwDQM-Face (α=0.4)#14Accuracy: 93.22
face-recognition-on-lfwDQM-Face α=0.5–Accuracy: 99.83
face-verification-on-ijb-bDQM-Face α=0.4–TAR@FAR=0.0001: 95.38
face-verification-on-ijb-cDQM-Face α=0.4–TAR @ FAR=1e-4: 96.58%