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    • Lightweight change detection network integrating feature interaction and fusion

    • In the field of remote sensing intelligent interpretation, experts have designed a lightweight change detection network FIFLNet, which significantly improves the performance of change detection, improves the problems of small target missed detection and boundary false detection, and provides a solution for high-quality change detection results.
    • Vol. 30, Issue 3, Pages: 870-882(2025)   

      Received:28 May 2024

      Revised:13 August 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240280     

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  • Wang Renfang, Yang Zijian, Qiu Hong, Wang Feng, Gao Guang, Wu Dun. 2025. Lightweight change detection network integrating feature interaction and fusion. Journal of Image and Graphics, 30(03):0870-0882 DOI: 10.11834/jig.240280.
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相关作者

Ding Chen 西安邮电大学计算机学院
Chen Jingyi 西安邮电大学计算机学院
Zheng Mengmeng 西安邮电大学计算机学院
Zhang Lei 西北工业大学计算机学院
Wei wei 西北工业大学计算机学院
Zhang Yanning 西北工业大学计算机学院
Wang Xin 河海大学计算机与信息学院
Li Yingying 河海大学计算机与信息学院

相关机构

School of Computer Science, Xi’an University of Posts and Telecommunications
School of Computer Science, Northwestern Polytechnical University
School of Computer and Information, Hohai University
School of Information Engineering, Chang’an University
School of Aerospace Science and Technology, Xidian University
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