Lightweight Face Recognition On Lfw
Metriken
Accuracy
MFLOPs
MParams
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy | MFLOPs | MParams |
|---|---|---|---|
| edgeface-efficient-face-recognition-model-for | 0.9973 | 154 | 1.77 |
| pocketnet-extreme-lightweight-face | 0.9966 | 587.24 | 0.99 |
| edgeface-efficient-face-recognition-model-for | 0.9978 | 306.11 | 3.65 |
| seesawfacenets-sparse-and-robust-face | 0.9965 | - | 2.8 |
| mixfacenets-extremely-efficient-face | 0.996 | 451.7 | 3.07 |
| mobilefacenets-efficient-cnns-for-accurate | 0.9928 | - | - |