Face Verification On Oulu Casia Nir Vis
Métriques
TAR @ FAR=0.001
TAR @ FAR=0.01
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | TAR @ FAR=0.001 | TAR @ FAR=0.01 | Paper Title | Repository |
|---|---|---|---|---|
| DVR Wu et al. (2019) | 84.9 | 97.2 | Disentangled Variational Representation for Heterogeneous Face Recognition | - |
| LightCNN-29 + DVG | 92.9 | 98.5 | Dual Variational Generation for Low-Shot Heterogeneous Face Recognition | |
| W-CNN He et al. (2018) | 54.6 | 81.5 | Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition | - |
0 of 3 row(s) selected.