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    • Cross-Domain Feature Alignment and Two-Stage Enhancement for Low-Light Object Detection

    • The research progress in the field of low light object detection was introduced, and relevant experts proposed an innovative low light object detection framework, which provides an efficient solution to the problem of traditional object detection performance degradation caused by image noise, insufficient contrast, and detail degradation in low light environments.
    • Pages: 1-19(2026)   

      Received:21 November 2025

      Revised:2026-02-10

      Accepted:27 February 2026

      Online First:28 February 2026

    • DOI: 10.11834/jig.250588     

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  • WANG Yang, ZHANG Meijing, CAO Jingjing, CHENG Hongju, XUE Xingsi, LIU Wenxi. Cross-Domain Feature Alignment and Two-Stage Enhancement for Low-Light Object Detection[J/OL]. Journal of Image and Graphics, 2026,1-19. DOI: 10.11834/jig.250588. DOI:
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Zhang Yanning 西北工业大学计算机学院;西北工业大学空天地海一体化大数据应用技术国家工程实验室
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相关机构

School of Computer Science, Northwestern Polytechnical University
National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University
Northwestern Polytechnical University
National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology
College of Computer Science and Software Engineering, Hohai University
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