Diffusion-Enhanced Underwater Debris Detection via Improved YOLOv12n Framework

Detecting underwater debris is important for monitoring the marine environment but remains challenging due to poor image quality, visual noise, object occlusions, and diverse debris appearances in underwater scenes. This study proposes UDD-YOLO, a novel detection framework that, for the first time,...

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Principais autores:	Jianghan Tao, Fan Zhao, Yijia Chen, Yongying Liu, Feng Xue, Jian Song, Hao Wu, Jundong Chen, Peiran Li, Nan Xu
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-12-01
Serija:	Remote Sensing
Teme:	deep learning underwater debris detection diffusion model underwater imaging object detection YOLOv12n
Online dostop:	https://www.mdpi.com/2072-4292/17/23/3910
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