Underwater object detection based on single-head self-attention and frequency-domain & spatial-domain fusion
Information Sciences|更新时间:2026-02-24
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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 EngineeringVol. 34, Issue 4, Pages: 671-685(2026)
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.
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. DOI: 10.37188/OPE.20263404.0671. CSTR: 32169.14.OPE.20263404.0671.
Underwater object detection based on single-head self-attention and frequency-domain & spatial-domain fusion