Face Verification On Buaa Visnir
Metrics
TAR @ FAR=0.001
TAR @ FAR=0.01
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | TAR @ FAR=0.001 | TAR @ FAR=0.01 |
|---|---|---|
| disentangled-variational-representation-for | 96.9 | 98.5 |
| wasserstein-cnn-learning-invariant-features | 91.9 | 96.0 |
| dual-variational-generation-for-low-shot | 97.3 | 98.5 |