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    • Transmission line bolt defect classification method integrating vision-language feature alignment and textual decoupling

    • In the field of bolt defect classification for transmission lines, researchers have proposed a new method that integrates graphic and textual feature alignment and text decoupling, effectively improving the performance of visual language models and providing new ideas for practical applications.
    • Pages: 1-14(2026)   

      Received:25 September 2025

      Revised:2025-12-24

      Accepted:05 January 2026

      Published Online:06 January 2026

    • DOI: 10.11834/jig.250468     

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  • Zhang Ke, Gao Mingwei, Zheng Zhaoye, Li Shuoshi, Nie Ding, Zhou Shuai. Transmission line bolt defect classification method integrating vision-language feature alignment and textual decoupling[J/OL]. Journal of Image and Graphics, 2026, 1-14. DOI: 10.11834/jig.250468.
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相关作者

Xu Yuanyuan 中国科学院计算技术研究所;中国科学院大学计算机科学与技术学院
Kan Meina 中国科学院计算技术研究所;中国科学院大学计算机科学与技术学院
Shan Shiguang 中国科学院计算技术研究所;中国科学院大学计算机科学与技术学院;鹏城实验室
Chen Xilin 中国科学院计算技术研究所;中国科学院大学计算机科学与技术学院
Wang Ziqi 陆军工程大学指挥控制工程学院
Li Yang 陆军工程大学指挥控制工程学院
Zhang Rui 陆军工程大学指挥控制工程学院
Wang Jiabao 陆军工程大学指挥控制工程学院

相关机构

Pengcheng Laboratory
School of Computer Science and Technology, University of Chinese Academy of Sciences
Institute of Computing Technology, Chinese Academy of Sciences
Command and Control Engineering College, Army Engineering University of PLA
School of Information and Control Engineering, China University of Mining and Technology
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