Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1015002(2025)

Point Cloud Segmentation Model Integrating Deep Residual Shrinkage and Lightweight Transformer Encoding Technique

Hongxu Li1,2、*, Yitao Lu1, Ronghua Chi1,2, Shiyu Li2, and Zhenbo Yang1、**
Author Affiliations
  • 1School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu , China
  • 2Jiangsu Province Engineering Research Center of Integrated Circuit Reliability Technology and Testing System, Wuxi University, Wuxi 214105, Jiangsu , China
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    References(26)

    [14] He T, Shen C H, van den Hengel A. Dynamic convolution for 3D point cloud instance segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 5697-5711(2023).

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    Hongxu Li, Yitao Lu, Ronghua Chi, Shiyu Li, Zhenbo Yang. Point Cloud Segmentation Model Integrating Deep Residual Shrinkage and Lightweight Transformer Encoding Technique[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1015002

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    Paper Information

    Category: Machine Vision

    Received: Aug. 28, 2024

    Accepted: Nov. 1, 2024

    Published Online: Apr. 22, 2025

    The Author Email: Hongxu Li (hongxuli@cwxu.edu.cn), Zhenbo Yang (1040056581@qq.com)

    DOI:10.3788/LOP241922

    CSTR:32186.14.LOP241922

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