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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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Principais autores: Chao Zhang, Shuang Wu, Baohua Huang, Binchen Zhao, Fengqi Cui, Xingkun Li
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2026-04-01
Serier:Frontiers in Artificial Intelligence
Fag:
computer vision
deep learning
feature enhancement
frequency domain
underwater object detection
Online adgang:https://www.frontiersin.org/articles/10.3389/frai.2026.1770342/full
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