Face Recognition on IJB-S V2B
72.65Rank-1AdaFace+Ours
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| AdaFace+OursLabeled Train Data=WebFace12M, Backbone=IResNet-1002022.07 | 72.65 | 78.18 | 60.26 | 65.88 | |
| AdaFaceLabeled Train Data=WebFace12M, Backbone=IResNet-1002022.07 | 71.93 | 76.56 | 59.37 | 66.68 | |
| ArcFace+OursLabeled Train Data=MS1MV2-*, Backbone=ResNet-502022.07 | 65.95 | 71.16 | 47.28 | 57.24 | |
| ArcFace+Ours*Labeled Train Data=MS1MV2-*, Backbone=ResNet-502022.07 | 62.2 | 69.5 | 44.38 | 53.49 | |
| ArcFaceLabeled Train Data=MS1MV2-*, Backbone=ResNet-502022.07 | 60.66 | 67.43 | 43.12 | 51.38 | |
| Shi et al.Labeled Train Data=MS1MV2-*, Backbone=ResNet-502022.07 | 60.58 | 67.7 | 32.39 | 44.32 | |
| MARNLabeled Train Data=MS1M-*, Backbone=ResNet-642022.07 | 53.6 | 61.75 | 35.99 | 39.82 | |
| C-FANLabeled Train Data=MS1M-*, Backbone=ResNet-642022.07 | 53.04 | 62.67 | 27.4 | 29.7 | |
| ArcFaceLabeled Train Data=MS1MV2, Backbone=ResNet-502022.07 | 52.25 | 61.19 | 34.87 | 43.5 |