| face-recognition-on-ijb-b | ArcFace + MS1MV2 + R100 | #1 | Rank-1: 0.9450TAR @ FAR=1e-5: 0.8933 |
| face-recognition-on-ijb-b | AdaFace + MS1MV3 + R100 | #4 | TAR @ FAR=0.0001: 0.9425 |
| face-recognition-on-cplfw | AdaFace R100 (WebFace4M) | #4 | Accuracy: 94.63 |
| face-recognition-on-cfp-fp | AdaFace R100 (WebFace4M) | #5 | Accuracy: 99.17 |
| face-recognition-on-calfw | AdaFace R100 (MS1MV2) | #8 | Accuracy: 96.08 |
| face-verification-on-ijb-b | AdaFace (WebFace4M) | #10 | TAR@FAR=0.0001: 96.03 |
| face-verification-on-ijb-b | AdaFace (MS1MV3) | #11 | TAR@FAR=0.0001: 95.84 |
| face-verification-on-ijb-b | AdaFace (MS1MV2) | #12 | TAR@FAR=0.0001: 95.67 |
| face-recognition-on-agedb-30 | AdaFace R100 (MS1MV3) | #11 | Accuracy: 98.17 |
| face-verification-on-ijb-c | AdaFace (WebFace4M) | #11 | TAR @ FAR=1e-4: 97.39% |
| face-verification-on-ijb-c | AdaFace (MS1MV3) | #14 | TAR @ FAR=1e-4: 97.09% |
| face-verification-on-ijb-c | AdaFace (MS1MV2) | #15 | TAR @ FAR=1e-4: 96.89% |
| face-recognition-on-lfw | ArcFace + MS1MV2 + R100 | #19 | Accuracy: 0.9983 |
| face-recognition-on-lfw | AdaFace + WebFace4M + R100 | #21 | Accuracy: 0.9980 |