FNMR [%] @ 10-3 FMR: 9.75
Papers with Code · CC BY-SA 4.0
Facial Recognition and Modelling
Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
논문
TAR @ FAR=1e-5: 0.8933Rank-1: 0.9450
TAR@FAR=0.0001: 84.27
Accuracy: 0.98467
Accuracy: 0.9823
TAR @ FAR=0.0001: 0.953
TAR @ FAR=1e-5: 0.9095TAR @ FAR=1e-4: 0.9461TAR @ FAR=1e-3: 0.9621Rank-1: 0.9496
Rank-1: 83.73
Accuracy: 0.9983
Accuracy: 0.9978
Accuracy: 0.998667
MFR-ALL: 97.85MFR-MASK: 90.88African: 98.07Caucasian: 98.81
TAR @ FAR=0.01: 0.5425
Accuracy: 0.9512
Accuracy: 0.9985
Rank-1: 87.2
Accuracy: 0.9831