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Hand Gesture Recognition On Dhg 14

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	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	-

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