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Updated: Jun 28, 2025

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多维精细化图形卷积网络,具有强大的脱损失,用于基于精细粒度骨的动作识别

Sheng-Lan Liu, Yu-Ning Ding, Jin-Rong Zhang

    IEEE transactions on neural networks and learning systems
    |April 15, 2024
    PubMed
    概括

    这项研究引入了一种新的多维改进图形卷积网络 (MDR-GCN) 带有频道变量时空注意力 (CVSTA),以改进基于细粒度骨架的动作识别,在多个数据集上表现优于现有的方法.

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