BSE-YOLO: An Enhanced Lightweight Multi-Scale Underwater Object Detection Model

Underwater images often exhibit characteristics such as low contrast, blurred and small targets, object clustering, and considerable variations in object morphology. Traditional detection methods tend to be susceptible to omission and false positives under these circumstances. Furthermore, owing to...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Yuhang Wang, Hua Ye, Xin Shu
Format:	Article
Language:	English
Published:	MDPI AG 2025-06-01
Subjects:	underwater object detection YOLOv10n bidirectional feature pyramid network multi-scale attention synergy lightweight network
Online Access:	https://www.mdpi.com/1424-8220/25/13/3890