Lightweight Face Recognition On Calfw
Metrics
Accuracy
MParams
Results
Performance results of various models on this benchmark
Model Name | Accuracy | MParams | Paper Title | Repository |
|---|---|---|---|---|
| PocketNetS | 0.955 | 0.99 | PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation | - |
| EdgeFace - XS (g=0.6) | 0.9528 | 1.77 | EdgeFace: Efficient Face Recognition Model for Edge Devices | - |
| EdgeFace - S (g=0.5) | 0.9571 | 3.65 | EdgeFace: Efficient Face Recognition Model for Edge Devices | - |
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