Face Verification on YTF (test)
98.12Verification AccuracySeqFace
Evaluation Results
| Method | Links | |
|---|---|---|
| SeqFaceModels=1 ResNet-64, Data=MS-Celeb-1M + Celeb-Seq2018.03 | 98.12 | |
| SFace#Images=5.8M, Backbone=R100, Training Data=MS1MV22022.05 | 98.06 | |
| ArcFace#Images=5.8M, Backbone=R100, Training Data=MS1MV22022.05 | 98.02 | |
| SeqFaceModels=1 ResNet-27, Data=MS-Celeb-1M + Celeb-Seq2018.03 | 98 | |
| SSBackbone=ResNet-1012024.10 | 97.74 | |
| CosFaceModels=1 ResNet-64, Data=5M images2018.03 | 97.6 | |
| CosFace#Images=5M2022.05 | 97.6 | |
| BaselineBackbone=ResNet-1012024.10 | 97.54 | |
| SSBackbone=ResNet-502024.10 | 97.5 | |
| BaselineBackbone=ResNet-502024.10 | 97.41 | |
| VGG Face#Images=2.6M2022.05 | 97.3 | |
| Marginal Loss#Images=3.8M2022.05 | 95.98 | |
| L2-SphereFaceModels=1 ResNet-27, Data=MS-Celeb-1M2018.03 | 95.7 | |
| FaceNetModels=1, Data=200M images2018.03 | 95.1 | |
| FaceNet#Images=200M2022.05 | 95.1 | |
| SphereFaceModels=1 ResNet-64, Data=CASIA-Webface2018.03 | 95 | |
| SphereFace#Images=0.5M2022.05 | 95 | |
| Center FaceModels=1, Data=0.7M images2018.03 | 94.9 | |
| Center Loss#Images=0.7M2022.05 | 94.9 | |
| Range Loss#Images=5M2022.05 | 93.7 | |
| DeepID2+Models=25, Data=300K images2018.03 | 93.2 | |
| DeepID#Images=0.2M2022.05 | 93.2 | |
| DeepFaceModels=3, Data=4M images2018.03 | 91.4 | |
| DeepFace#Images=4.4M2022.05 | 91.4 |