Face Verification on CALFW (test)
96.21AccuracyMag+UNPG
Evaluation Results
| Method | Links | |
|---|---|---|
| Mag+UNPGBackbone=ResNet-1002022.03 | 96.21 | |
| GroupFaceBackbone=ResNet101, Training Dataset=MS1MV22021.05 | 96.2 | |
| CurricularFaceBackbone=ResNet101, Training Dataset=MS1MV22021.05 | 96.2 | |
| PartialFC-r1.0Backbone=ResNet101, Training Dataset=MS1MV2, Sampling Rate=1.02021.05 | 96.2 | |
| CosFace (ours)Backbone=ResNet101, Training Dataset=MS1MV22021.05 | 96.2 | |
| MagFace*Backbone=ResNet-1002022.03 | 96.15 | |
| Cos+UNPGBackbone=ResNet-1002022.03 | 96.15 | |
| MagFaceBackbone=ResNet-1002022.03 | 96.15 | |
| Arc+UNPGBackbone=ResNet-1002022.03 | 96.13 | |
| PartialFC-r0.1Backbone=ResNet101, Training Dataset=MS1MV2, Sampling Rate=0.12021.05 | 96.12 | |
| CosFaceBackbone=ResNet-1002022.03 | 96.11 | |
| ArcFaceBackbone=ResNet-1002022.03 | 96.11 | |
| DCQBackbone=ResNet101, Training Dataset=MS1MV22021.05 | 96.07 | |
| ArcFaceBackbone=ResNet101, Training Dataset=MS1MV22021.05 | 95.45 | |
| ArcFace*Backbone=ResNet-1002022.03 | 95.45 | |
| CosFaceBackbone=ResNet101, Training Dataset=MS1MV22021.05 | 90.57 |