Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Hand Gesture Recognition On Dhg 14

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
Parallel-Conv	91.28	Deep Learning for Hand Gesture Recognition on Skeletal Data
MFANet	84.68	Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition	-
DD-Net	94.6	Make Skeleton-based Action Recognition Model Smaller, Faster and Better
SL-fusion-Maximum	85.36	CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition	-
TD-GCN	93.9	Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition	-
e2eET	95.83	Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
SL-fusion-Average	85.46	CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition	-
FPPR-PCD	92.0	Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
DG-STA	91.9	Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention
FL-fusion-Concat	81.86	CNN+RNN Depth and Skeleton based Dynamic Hand Gesture Recognition	-
Ensemble of Models	86.11	An Ensemble of Knowledge Sharing Models for Dynamic Hand Gesture Recognition	-

0 of 11 row(s) selected.