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Underwater object detection based on single-head self-attention and frequency-domain & spatial-domain fusion
Information Sciences | 更新时间:2026-02-24
    • Underwater object detection based on single-head self-attention and frequency-domain & spatial-domain fusion

    • Underwater target detection is difficult, and experts have proposed an improved YOLOv8n-SD model that integrates single head self attention and frequency domain spatial features to improve detection accuracy and robustness, providing a new solution for underwater target detection.
    • Optics and Precision Engineering   Vol. 34, Issue 4, Pages: 671-685(2026)
    • DOI:10.37188/OPE.20263404.0671    

      CLC: TP394.1;TH691.9
    • CSTR:32169.14.OPE.20263404.0671    
    • Received:17 October 2025

      Revised:2025-11-26

      Published:25 February 2026

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  • LI Dahai,LIAO Jiawei,WANG Zhendong.Underwater object detection based on single-head self-attention and frequency-domain & spatial-domain fusion[J].Optics and Precision Engineering,2026,34(04):671-685.

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