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Dynamic feature-augmented for detection of underwater fish targets
Information Sciences | 更新时间：2026-02-14

    • Dynamic feature-augmented for detection of underwater fish targets

    • “A new breakthrough has been made in the field of underwater fish monitoring, and relevant experts have constructed the FDN-YOLO model based on the YOLOv8n framework. Through innovative module and loss function design, the detection performance has been effectively improved, providing strong technical support for marine ecological protection and resource management.”
    • Optics and Precision Engineering   Vol. 34, Issue 3, Pages: 481-496(2026)

    • DOI：10.37188/OPE.20263403.0481    

      CLC： TN911.7;TP391
    • CSTR：32169.14.OPE.20263403.0481    

    • Received：10 October 2025，

      Revised：2025-10-30，

      Published：10 February 2026

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  • ZHU Xiaolong,CHEN Yuwei,WANG Jiayu,et al.Dynamic feature-augmented for detection of underwater fish targets[J].Optics and Precision Engineering,2026,34(03):481-496.

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