Face Recognition On Cfp Fp
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| CircleLoss(ours) | 0.9602 | Circle Loss: A Unified Perspective of Pair Similarity Optimization | |
| SymFace + AdaFace + ResNet100 +WebFace | 0.992 | SymFace: Additional Facial Symmetry Loss for Deep Face Recognition | - |
| DiscFace | 0.9854 | DiscFace: Minimum Discrepancy Learning for Deep Face Recognition | - |
| DCQ | 0.9287 | Dynamic Class Queue for Large Scale Face Recognition In the Wild | |
| GhostFaceNetV2-1 | 0.9933 | GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations | |
| ElasticFace-Arc | 0.9867 | ElasticFace: Elastic Margin Loss for Deep Face Recognition | |
| QMagFace | 0.8395 | QMagFace: Simple and Accurate Quality-Aware Face Recognition | |
| EdgeFace - S (g=0.5) | 0.9581 | EdgeFace: Efficient Face Recognition Model for Edge Devices |
0 of 8 row(s) selected.