Face Verification On Megaface
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| elasticface-elastic-margin-loss-for-deep-face | 98.81% |
| probabilistic-face-embeddings | 92.51% |
| adacos-adaptively-scaling-cosine-logits-for | 97.41% |
| support-vector-guided-softmax-loss-for-face | 97.38% |
| sphereface-deep-hypersphere-embedding-for | 89.142% |
| deep-polynomial-neural-networks | 98.95% |
| cosface-large-margin-cosine-loss-for-deep | 96.65% |
| discface-minimum-discrepancy-learning-for | 97.44% |
| ghostfacenets-lightweight-face-recognition | 98.72% |
| arcface-additive-angular-margin-loss-for-deep | 98.48% |
| sphereface-deep-hypersphere-embedding-for | 85.561% |
| a-light-cnn-for-deep-face-representation-with | 85.133% |