Noise-Robust Face Recognition via Non-target Similarity Distribution Guided Sample Selection

Benchmark Model Rank Results
face-recognition-on-agedb-30Arc+DDLN (R100)–Accuracy: 98.45
face-recognition-on-calfwArc+DDLN (R50)–Accuracy: 96.15
face-recognition-on-cfp-fpArc+DDLN (R100)–Accuracy: 99.03
face-recognition-on-lfwArc+DDLN (R100)–Accuracy: 99.82
face-verification-on-ijb-bArc+DDLN (R100)–TAR@FAR=0.0001: 95.68
face-verification-on-ijb-cArc+DDLN (R100)–TAR @ FAR=1e-4: 96.96%