Hand Gesture Recognition On Rwth Phoenix
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| DenseNet | 96.05 | A comparison of small sample methods for Handshape Recognition | |
| VGG16 | 82.88 | A Study of Convolutional Architectures for Handshape Recognition applied to Sign Language |
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