Face Recognition On Cfp Fp
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| circle-loss-a-unified-perspective-of-pair | 0.9602 |
| symface-additional-facial-symmetry-loss-for | 0.992 |
| discface-minimum-discrepancy-learning-for | 0.9854 |
| dynamic-class-queue-for-large-scale-face | 0.9287 |
| ghostfacenets-lightweight-face-recognition | 0.9933 |
| elasticface-elastic-margin-loss-for-deep-face | 0.9867 |
| qmagface-simple-and-accurate-quality-aware | 0.8395 |
| edgeface-efficient-face-recognition-model-for | 0.9581 |