Lightweight Face Recognition On Cfp Fp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| PocketNetS | 0.9334 | PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation | - |
| EdgeFace - S (g=0.5) | 0.9581 | EdgeFace: Efficient Face Recognition Model for Edge Devices | - |
| EdgeFace - XS (g=0.6) | 0.9437 | EdgeFace: Efficient Face Recognition Model for Edge Devices | - |
| Seesaw-shuffleFaceNet(mobi) | 0.9307 | SeesawFaceNets: sparse and robust face verification model for mobile platform | - |
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