Face Recognition On Lfw
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Accuracy |
|---|---|
| dynamic-class-queue-for-large-scale-face | 0.998 |
| edgeface-efficient-face-recognition-model-for | 0.9978 |
| adaface-quality-adaptive-margin-for-face | 0.9980 |
| pic-score-probabilistic-interpretable | - |
| octuplet-loss-make-face-recognition-robust-to | 0.9973 |
| pic-score-probabilistic-interpretable | - |
| qmagface-simple-and-accurate-quality-aware | 0.9850 |
| circle-loss-a-unified-perspective-of-pair | 0.9973 |
| edgeface-efficient-face-recognition-model-for | 0.9973 |
| magiceye-an-intelligent-wearable-towards | 0.945 |
| pic-score-probabilistic-interpretable | - |
| adaface-quality-adaptive-margin-for-face | 0.9983 |
| symface-additional-facial-symmetry-loss-for | 0.9985 |
| deep-polynomial-neural-networks | 0.99833 |
| ghostfacenets-lightweight-face-recognition | 0.998667 |
| discface-minimum-discrepancy-learning-for | 0.9983 |