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- W2963580113 abstract "We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition. The key idea is to first construct a fully-connected graph from a hand skeleton, where the node features and edges are then automatically learned via a self-attention mechanism that performs in both spatial and temporal domains. We further propose to leverage the spatial-temporal cues of joint positions to guarantee robust recognition in challenging conditions. In addition, a novel spatial-temporal mask is applied to significantly cut down the computational cost by 99%. We carry out extensive experiments on benchmarks (DHG-14/28 and SHREC'17) and prove the superior performance of our method compared with the state-of-the-art methods. The source code can be found at https://github.com/yuxiaochen1103/DG-STA." @default.
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- W2963580113 date "2019-07-20" @default.
- W2963580113 modified "2023-09-23" @default.
- W2963580113 title "Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention" @default.
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- W2963580113 doi "https://doi.org/10.48550/arxiv.1907.08871" @default.
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