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Lightweight Network for Point Cloud Classification Based on Gridding and Surface Features Encoder
更新时间：2024-06-17
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    • Lightweight Network for Point Cloud Classification Based on Gridding and Surface Features Encoder

    • “在深度学习领域，针对点云分类问题，提出了轻量级网络GridPoint，通过栅格化模块和表面特征编码，实现高精度分类，同时显著降低参数量和计算量，具有实用价值。”
      ”
    • Software Guide   Vol. 23, Issue 5, Pages: 9-16(2024)

    • DOI：10.11907/rjdk.241137    

      CLC： TP391

    • Published：15 May 2024，

      Received：20 February 2024，

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  • YANG Guanxue,ZHOU Hao,LIU Hui,et al.Lightweight Network for Point Cloud Classification Based on Gridding and Surface Features Encoder[J].Software Guide,2024,23(05):9-16. DOI： 10.11907/rjdk.241137.

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