From: Cancelable templates for secure face verification based on deep learning and random projections
Proj. size | Measure | LFW | YTF | CALFW | CPLFW | CFP | AgeDB |
---|---|---|---|---|---|---|---|
r = 64 | Verification Acc. | 99.28 | 97.08 | 96.17 | 94.18 | 97.73 | 94.45 |
GAR@FAR=\(10^{-2}\) | 99.53 | 93.97 | 92.00 | 83.25 | 94.83 | 82.20 | |
GAR@FAR=\(10^{-3}\) | 92.83 | 82.77 | 79.03 | 61.12 | 85.07 | 63.53 | |
r = 128 | Verification Acc. | 99.62 | 97.78 | 96.67 | 95.33 | 99.13 | 95.57 |
GAR@FAR=\(10^{-2}\) | 99.80 | 96.17 | 93.43 | 86.70 | 99.17 | 87.40 | |
GAR@FAR=\(10^{-3}\) | 98.37 | 90.53 | 86.77 | 65.87 | 96.83 | 73.67 | |
r = 256 | Verification Acc. | 99.72 | 97.85 | 96.70 | 95.67 | 99.18 | 95.82 |
GAR@FAR=\(10^{-2}\) | 99.83 | 96.47 | 93.63 | 87.63 | 99.33 | 88.20 | |
GAR@FAR=\(10^{-3}\) | 98.50 | 91.43 | 87.57 | 66.73 | 97.07 | 74.07 | |
NOCB | Verification Acc. | 99.82 | 98.16 | 97.10 | 95.85 | 99.43 | 96.24 |
GAR@FAR=\(10^{-2}\) | 99.80 | 96.93 | 94.63 | 88.53 | 99.43 | 89.23 | |
GAR@FAR=\(10^{-3}\) | 99.20 | 92.20 | 89.50 | 68.27 | 97.57 | 74.70 |