Gesture Recognition on DHG-28

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	DSTSA-GCN	93.57	No	DSTSA-GCN: Advancing Skeleton-Based Gesture Reco...	2025-01-21	Code
2	e2eET	92.38	No	Real-Time Hand Gesture Recognition: Integrating ...	2024-06-21	Code
3	DD-Net	91.9	No	Make Skeleton-based Action Recognition Model Sma...	2019-07-23	Code
4	FPPR-PCD	91.7	No	-	-	Code
5	TD-GCN	91.4	No	-	-	Code
6	RE-TCN	88.21	No	Action Recognition in Real-World Ambient Assiste...	2025-03-29	Code
7	DG-STA	88	No	Construct Dynamic Graphs for Hand Gesture Recogn...	2019-07-20	Code
8	Parallel-Conv	84.35	No	-	-	Code
9	MFANet	80.32	No	Motion Feature Augmented Recurrent Neural Networ...	2017-08-10	-

#1DSTSA-GCNSOTA
93.57
Accuracy· 2025-01-21
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling Code
#2e2eETSOTA
92.38
Accuracy· 2024-06-21
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN Code
#3DD-NetSOTA
91.9
Accuracy· 2019-07-23
Make Skeleton-based Action Recognition Model Smaller, Faster and Better Code
#4FPPR-PCD
91.7
Accuracy
No paperCode
#5TD-GCN
91.4
Accuracy
No paperCode
#6RE-TCN
88.21
Accuracy· 2025-03-29
Action Recognition in Real-World Ambient Assisted Living Environment Code
#7DG-STASOTA
88
Accuracy· 2019-07-20
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention Code
#8Parallel-Conv
84.35
Accuracy
No paperCode
#9MFANetSOTA
80.32
Accuracy· 2017-08-10
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition