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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Chao Zhang, Shuang Wu, Baohua Huang, Binchen Zhao, Fengqi Cui, Xingkun Li
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2026-04-01
Schriftenreihe:	Frontiers in Artificial Intelligence
Schlagworte:	computer vision deep learning feature enhancement frequency domain underwater object detection
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/frai.2026.1770342/full
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!