FSD-Net: underwater object detection based on frequency and spatial domain feature enhancement

BackgroundComplex underwater visual conditions cause severe missed and false detections in conventional object detection models, hindering reliable autonomous underwater exploration. This work addresses these key performance limitations.MethodsWe propose FSD-Net, a novel underwater detection model w...

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Hlavní autoři:	Chao Zhang, Shuang Wu, Baohua Huang, Binchen Zhao, Fengqi Cui, Xingkun Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2026-04-01
Edice:	Frontiers in Artificial Intelligence
Témata:	computer vision deep learning feature enhancement frequency domain underwater object detection
On-line přístup:	https://www.frontiersin.org/articles/10.3389/frai.2026.1770342/full
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