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    • Lightweight pavement defect detection algorithm combining partial convolution and inception depthwise convolution

    • In the field of road defect detection, based on the YOLOv8 framework and combining partial convolution and initial depth convolution mechanisms, a lightweight detection algorithm YOLOv8n PIVI is proposed, which effectively improves detection performance and efficiency.
    • Vol. 30, Issue 11, Pages: 3564-3582(2025)   

      Received:06 December 2024

      Revised:2025-03-06

      Accepted:10 March 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.240727     

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  • Peng Y and Shao Y F. 2025. Lightweight pavement defect detection algorithm combining partial convolution and inception depthwise convolution. Journal of Image and Graphics, 30(11):3564-3582 DOI: 10.11834/jig.240727.
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相关作者

Peng Yi 辽宁工程技术大学软件学院
Peng Zhenrui 兰州交通大学,机电工程学院
Pei Zhibiao 兰州交通大学,机电工程学院
Ren Zehua 华北电力大学电子与通信工程系
Zhang Ke 华北电力大学电子与通信工程系;华北电力大学河北省电力物联网技术重点实验室;电力物联智慧化技术河北省工程研究中心
Sheng Xin 华北电力大学电子与通信工程系
Xiao Yangjie 华北电力大学电子与通信工程系
Yang Jiyuan 华北电力大学电子与通信工程系

相关机构

School of Mechatronic Engineering, Lanzhou Jiaotong University
Hebei Engineering Research Center of Intelligent Technology for Power Internet of Things
Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University
Department of Electronic and Communication Engineering,North China Electric Power University
Department of Neurology, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology
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