Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2415007(2024)

Point Cloud Classification and Segmentation Network Based on Topological Awareness and Channel Attention

Xin Liu1,2, Chunmei Chen1,2、*, Hao Deng3,4, Guihua Liu1,2, and Lingling Yuan1,2
Author Affiliations
  • 1School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, Sichuan , China
  • 2Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Mianyang 621010, Sichuan , China
  • 3School of Information Engineering, Mianyang Teachers' College, Mianyang 621000, Sichuan , China
  • 4Sichuan HYHZ Tech. Co., Ltd., Mianyang 621213, Sichuan , China
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    References(30)

    [4] Qi C R, Yi L, Su H et al. PointNet++: deep hierarchical feature learning on point sets in a metric space[C], 5105-5114(2017).

    [6] Li Y, Bu R, Sun M et al. PointCNN: convolution on X-transformed points[C], 820-830(2018).

    [21] Zhou R C, Tian J, Yan F T et al. Point cloud classification model incorporating external attention and graph convolution[J]. Journal of Graphics, 44, 1162-1172(2023).

    [22] Meng F L, He X X, Liu Y H et al. Point cloud classification and segmentation based on self-attention mechanism[J]. Computer Systems & Applications, 33, 177-184(2024).

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    Xin Liu, Chunmei Chen, Hao Deng, Guihua Liu, Lingling Yuan. Point Cloud Classification and Segmentation Network Based on Topological Awareness and Channel Attention[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2415007

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    Paper Information

    Category: Machine Vision

    Received: Apr. 2, 2024

    Accepted: May. 22, 2024

    Published Online: Dec. 13, 2024

    The Author Email: Chunmei Chen (47920787@qq.com)

    DOI:10.3788/LOP241015

    CSTR:32186.14.LOP241015

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