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Face Recognition On Cfp Fp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| GhostFaceNetV2-1 | 0.9933 | GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations | - |
| SymFace + AdaFace + ResNet100 +WebFace | 0.992 | SymFace: Additional Facial Symmetry Loss for Deep Face Recognition | - |
| ElasticFace-Arc | 0.9867 | ElasticFace: Elastic Margin Loss for Deep Face Recognition | |
| DiscFace | 0.9854 | DiscFace: Minimum Discrepancy Learning for Deep Face Recognition | - |
| CircleLoss(ours) | 0.9602 | Circle Loss: A Unified Perspective of Pair Similarity Optimization | |
| EdgeFace - S (g=0.5) | 0.9581 | EdgeFace: Efficient Face Recognition Model for Edge Devices | |
| DCQ | 0.9287 | Dynamic Class Queue for Large Scale Face Recognition In the Wild | |
| QMagFace | 0.8395 | QMagFace: Simple and Accurate Quality-Aware Face Recognition |
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