From: Cancelable templates for secure face verification based on deep learning and random projections
Method | # Images | LFW | YTF | CALFW | CPLFW | CFP | AgeDB |
---|---|---|---|---|---|---|---|
DeepID [10] | 0.2M | 99.47 | 93.20 | - | - | - | - |
SphereFace [46] | 0.5M | 99.42 | 95.0 | 90.30 | 81.40 | 94.38 | 91.70 |
SphereFace+ [71] | 0.5M | 99.47 | - | - | - | - | - |
CenterLoss [72] | 0.7M | 99.28 | 94.9 | 85.48 | 77.48 | - | - |
Baidu [73] | 1.3M | 99.13 | - | - | - | - | - |
UniformFace [74] | 2.21M | 99.80 | 97.70 | - | - | - | - |
VGGFace [11] | 2.6M | 98.95 | 97.30 | 90.57 | 84.00 | - | - |
MarginalLoss [75] | 3.8M | 99.48 | 95.98 | - | - | - | - |
DeepFace [76] | 4.4M | 97.35 | 91.4 | - | - | - | - |
RangeLoss [77] | 5M | 99.52 | 93.7 | - | - | - | - |
CosFace [47] | 5M | 99.73 | 97.6 | - | - | 95.44 | - |
ArcFace [48] | 5.8M | 99.82 | 98.02 | 95.45 | 92.08 | 98.37 | 95.15 |
FaceNet [14] | 200M | 99.63 | 95.10 | - | - | - | 89.98 |
BiometricNet [16] | 3.8M | 99.80 | 98.06 | 97.07 | 95.60 | 99.35 | 96.12 |
BiometricNet+ r=64 | 4.4M | 99.28 | 97.08 | 96.17 | 94.18 | 97.73 | 94.45 |
(99.11) | (96.98) | (96.03) | (94.02) | (97.59) | (94.21) | ||
BiometricNet+ r=128 | 4.4M | 99.62 | 97.78 | 96.67 | 95.33 | 99.13 | 95.57 |
(99.32) | (97.39) | (96.29) | (95.11) | (99.01) | (95.27) | ||
BiometricNet+ r=256 | 4.4M | 99.72 | 97.85 | 96.70 | 95.67 | 99.18 | 95.82 |
(99.41) | (97.56) | (96.41) | (95.27) | (99.04) | (95.43) | ||
BiometricNet+ NOCB | 4.4M | 99.82 | 98.16 | 97.10 | 95.85 | 99.43 | 96.24 |
(99.75) | (98.01) | (96.88) | (95.30) | (99.37) | (96.17) |