Multimodal Activity Recognition On Lborohar
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Bagged Trees | 92.50 | Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset | - |
| Cubic SVM | 97.90 | Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset | - |
| Deep Neural Net | 95.00 | Adaptive Feature Processing for Robust Human Activity Recognition on a Novel Multi-Modal Dataset | - |
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