Face Identification on IJB-S 17 (test)
70.42SS Rank-1AdaFace
Evaluation Results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| AdaFaceTrain Data=WebFace4M, Backbone=ResNet100, Margin (m)=0.42022.04 | 70.42 | 75.29 | 58.27 | 70.93 | 76.11 | 58.02 | 35.05 | 48.22 | 496 | |
| ArcFaceTrain Data=WebFace4M, Backbone=ResNet1002022.04 | 69.26 | 74.31 | 57.06 | 70.31 | 75.15 | 56.89 | 32.13 | 46.67 | 532 | |
| AdaFaceTrain Data=MS1MV3, Backbone=ResNet100, Margin (m)=0.42022.04 | 67.12 | 72.67 | 53.67 | 67.83 | 72.88 | 52.03 | 26.23 | 40.6 | 328 | |
| AdaFaceTrain Data=MS1MV2, Backbone=ResNet100, Margin (m)=0.42022.04 | 65.26 | 70.53 | 51.66 | 66.27 | 71.61 | 50.87 | 23.74 | 37.47 | 250 | |
| CurricularFaceTrain Data=MS1MV2, Backbone=ResNet1002022.04 | 62.43 | 68.68 | 47.68 | 63.81 | 69.74 | 47.57 | 19.54 | 32.8 | 253 | |
| URLTrain Data=MS1MV2, Backbone=ResNet1002022.04 | 59.79 | 65.78 | 41.06 | 61.98 | 67.12 | 42.73 | — | — | — | |
| ArcFaceTrain Data=MS1MV2, Backbone=ResNet1002022.04 | 57.35 | 64.42 | 41.85 | 57.36 | 64.95 | 41.23 | — | — | — | |
| PFETrain Data=MS1MV2, Backbone=ResNet1002022.04 | 50.16 | 58.33 | 31.88 | 53.6 | 61.75 | 35.99 | 9.2 | 20.82 | 84 |