Lightweight Face Recognition On Calfw
Métriques
Accuracy
MParams
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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 |
0 of 3 row(s) selected.