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Face Verification on LFW (AUROC, TPR, and PE Gap Metrics)

99.42AUROCAC-Ridge
95.031296.170697.3198.4494Jun 3, 2026

Evaluation results

MethodLinks
AC-RidgeBackbone=FaceNet, Demographic label requirement at inference=True2026.0699.4276.4792.631.254.323.282.4897.211
AC-LinearBackbone=FaceNet, Demographic label requirement at inference=True2026.0699.3980.7793.13.264.772.852.3397.067
AC-RidgeBackbone=MagFace, Demographic labels at inference=false2026.0699.3775.994.031.93.664.982.7798.182
AC-RidgeBackbone=AdaFace, Demographic labels at inference=false2026.0699.3775.994.031.93.664.982.7798.182
AC-LinearBackbone=MagFace, Demographic labels at inference=false2026.0699.3483.3393.771.93.224.022.6298.423
AC-LinearBackbone=AdaFace, Demographic labels at inference=false2026.0699.3483.3393.771.93.224.022.6298.423
FairCalBackbone=MagFace, Demographic labels at inference=false2026.0699.3283.4792.672.334.782.042.5697.591
FairCalBackbone=AdaFace, Demographic labels at inference=false2026.0699.3283.4792.672.334.782.042.5697.591
FALCONBackbone=FaceNet, Demographic label requirement at inference=False2026.0699.2982.892.41.254.4525.5514.7594.687
DemoNormBackbone=FaceNet, Demographic label requirement at inference=True2026.0699.2882.392.531.594.5715.6613.294.65—
BaselineBackbone=FaceNet, Demographic label requirement at inference=False2026.0699.2781.491.871.254.3217.17.4394.65—
OracleBackbone=FaceNet, Demographic label requirement at inference=True2026.0699.2281.2391.131.925.452.192.5393.51—
GSTBackbone=FaceNet, Demographic label requirement at inference=True2026.0699.2181.492.271.494.092.212.6294.65—
FairCalBackbone=FaceNet, Demographic label requirement at inference=False2026.0699.165.4911.893.472.042.5896.560
BaselineBackbone=MagFace, Demographic labels at inference=false2026.0698.968793.272.145.0825.7215.8297.25—
BaselineBackbone=AdaFace, Demographic labels at inference=false2026.0698.968793.272.145.0825.7215.8297.25—
Oracle†Backbone=AdaFace, Demographic labels at inference=true2026.0698.9685.8393.132.945.132.172.8297.41—
OracleBackbone=ArcFace R100, Demographic labels at inference=true2026.0698.9572.2787.430.161.370.62.9197.88—
GST†Backbone=AdaFace, Demographic labels at inference=true2026.0698.9586.2792.92.145.082.132.8297.25—
DemoNorm†Backbone=AdaFace, Demographic labels at inference=true2026.0698.9587.193.272.146.2814.8612.7997.25—
OracleBackbone=ArcFace R100, Demographic labels required at inference=True2026.0698.9572.2787.430.161.370.62.9197.88—
FALCONBackbone=AdaFace, Demographic labels at inference=false2026.0698.9287.393.22.145.0830.0316.8897.121
AC-LinearBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.9172.4787.650.261.870.822.997.751
AC-RidgeBackbone=ArcFace R50, Demographic-aware=true2026.0698.9196.396.431.475.12.781.9892.910
AC-LinearBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.9172.4787.650.261.870.822.997.751
FairCalBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.973.1587.780.211.570.392.8797.771
FairCalBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.973.1587.780.211.570.392.8797.771
FRAPPEBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.8671.2687.130.231.650.332.9597.721
FRAPPEBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.8671.2687.130.231.650.332.9597.721
FALCONBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.8570.3786.620.261.9914.048.2697.771
FSNBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.8571.8287.120.171.4713.055.6997.681
FALCONBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.8570.3786.620.261.9914.048.2697.771
FSNBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.8571.8287.120.171.4713.055.6997.681
FRAPPEBackbone=MagFace, Demographic labels at inference=false2026.0698.8484.9791.52.123.012.13.1896.962
FRAPPEBackbone=AdaFace, Demographic labels at inference=false2026.0698.8484.9791.52.123.012.13.1896.962
BaselineBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.867.9585.70.32.2211.945.6197.78—
DemoNormBackbone=ArcFace R100, Demographic labels at inference=true2026.0698.870.3686.640.21.2622.5919.0497.78—
BaselineBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.867.9585.70.32.2211.945.6197.78—
DemoNormBackbone=ArcFace R100, Demographic labels required at inference=True2026.0698.870.3686.640.21.2622.5919.0497.78—
GSTBackbone=ArcFace R100, Demographic labels at inference=true2026.0698.767287.030.151.140.493.0197.78—
GSTBackbone=ArcFace R100, Demographic labels required at inference=True2026.0698.767287.030.151.140.493.0197.78—
AC-MLPBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.7470.7786.740.171.521.33.1497.521
AC-MLPBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.7470.7786.740.171.521.33.1497.521
FRAPPEBackbone=FaceNet, Demographic label requirement at inference=False2026.0698.7363.983.731.784.32.423.8293.930
AC-RidgeBackbone=ArcFace R100, Demographic labels at inference=false2026.0698.6373.6386.840.252.11.953.0497.191
AC-LinearBackbone=ArcFace R50, Demographic-aware=true2026.0698.6396.2396.51.434.241.641.8792.150
AC-RidgeBackbone=ArcFace R100, Demographic labels required at inference=False2026.0698.6373.6386.840.252.11.953.0497.191
BaselineBackbone=ArcFace R50, Demographic-aware=false2026.0698.5396.396.471.433.6617.077.5791.77—
FALCONBackbone=ArcFace R50, Demographic-aware=false2026.0698.5396.396.471.433.6622.978.791.770
OracleBackbone=ArcFace R50, Demographic-aware=true2026.0698.5396.396.471.433.660.851.8391.77—
GSTBackbone=ArcFace R50, Demographic-aware=true2026.0698.5396.396.471.433.660.851.8391.77—
DemoNormBackbone=ArcFace R50, Demographic-aware=true2026.0698.5396.396.471.433.6615.9413.6291.77—
FRAPPEBackbone=ArcFace R50, Demographic-aware=false2026.0698.5296.396.51.433.660.811.8391.521
FairCalBackbone=ArcFace R50, Demographic-aware=false2026.0698.4696.296.51.4141.231.992.180
FSNBackbone=ArcFace R50, Demographic-aware=false2026.0698.39696.231.573.9615.495.1991.040
AC-LinearBackbone=AdaFace, Demographic labels at inference=false2026.0698.2661.982.131.913.184.554.8893.618
AC-MLPBackbone=FaceNet, Demographic label requirement at inference=True2026.0698.0359.8370.532.173.86157.894.030
AC-RidgeBackbone=AdaFace, Demographic labels at inference=false2026.0697.9857.1375.82.44.555.255.5394.90
AC-MLPBackbone=ArcFace R50, Demographic-aware=true2026.0697.9683.188.671.374.4416.887.2394.940
FairCalBackbone=AdaFace, Demographic labels at inference=false2026.0697.8660.476.671.344.683.435.3993.360
FALCONBackbone=AdaFace, Demographic labels at inference=false2026.0697.2963.7775.931.258.8328.0419.2391.710
BaselineBackbone=AdaFace, Demographic labels at inference=false2026.0697.1259.7772.31.658.9822.5714.9491.6—
FSNBackbone=AdaFace, Demographic labels at inference=false2026.0696.765.777.373.244.0619.0611.6891.90
FRAPPEBackbone=AdaFace, Demographic labels at inference=false2026.0696.5157.0773.572.144.933.226.6690.450
FSNBackbone=FaceNet, Demographic label requirement at inference=False2026.0695.5832.3743.434.196.2413.2811.0385.360
FSNBackbone=AdaFace, Demographic labels at inference=false2026.0695.3448.763.473.585.7318.8912.0890.550
AC-MLPBackbone=AdaFace, Demographic labels at inference=false2026.0695.244.4758.43.4410.3415.4211.0586.560