Facial Expression Recognition On Ferplus
Métriques
Accuracy(pretrained)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy(pretrained) |
|---|---|
| region-attention-networks-for-pose-and | 89.16 |
| adaptively-learning-facial-expression-1 | 90.49 |
| local-learning-with-deep-and-handcrafted | 87.76 |
| emotion-recognition-in-speech-using-cross | 88.88 |