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3D point cloud classification and segmentation based on dual attention and weighted dynamic graph convolution
Information Sciences | 更新时间：2024-10-28

    • 3D point cloud classification and segmentation based on dual attention and weighted dynamic graph convolution

    • “In the field of point cloud classification and segmentation, researchers have proposed an algorithm that combines dual attention and weighted dynamic graph convolutional networks to effectively extract contextual information and enhance the feature expression of neighboring points.”
    • Optics and Precision Engineering   Vol. 32, Issue 18, Pages: 2823-2835(2024)

    • DOI：10.37188/OPE.20243218.2823    

      CLC： TP391

    • Received：25 January 2024，

      Revised：02 April 2024，

      Published：25 September 2024

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  • XIAO Jian,WANG Xiaohong,LI Wei,et al.3D point cloud classification and segmentation based on dual attention and weighted dynamic graph convolution[J].Optics and Precision Engineering,2024,32(18):2823-2835. DOI： 10.37188/OPE.20243218.2823.

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