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Hand Gesture Recognition On Dhg 28

Metriken

Accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
Accuracy
Paper TitleRepository
TD-GCN91.4Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition-
e2eET92.38Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN-
FPPR-PCD91.7Fusing Posture and Position Representations for Point Cloud-Based Hand Gesture Recognition
MFANet80.32Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition-
Parallel-Conv84.35Deep Learning for Hand Gesture Recognition on Skeletal Data
DG-STA88Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention-
DD-Net91.9Make Skeleton-based Action Recognition Model Smaller, Faster and Better-
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Hand Gesture Recognition On Dhg 28 | SOTA | HyperAI