Cluster and Aggregate: Face Recognition with Large Probe Set

Benchmark Model Rank Results
face-verification-on-bts3-1CAFace (Adaface)#3TAR @ FAR=0.01: 0.5131
face-verification-on-ijb-bCAFace+AdaFace (WebFace4M)#8TAR @ FAR=0.001: 96.91TAR@FAR=0.0001: 95.53TAR @ FAR=1e-5: 92.29
face-verification-on-ijb-cCAFace+AdaFace (WebFace4M)#13TAR @ FAR=1e-4: 97.3%TAR @ FAR=1e-3: 98.08