SEAF-Net: A Sustainable and Lightweight Attention-Enhanced Detection Network for Underwater Fish Species Recognition

This study presents SEAF-Net, a lightweight and efficient detection network designed for low-contrast and highly dynamic underwater environments. Built upon YOLOv11n, SEAF-Net introduces three complementary structural enhancements: (1) Omni-Dimensional Dynamic Convolution (ODConv) to improve adaptiv...

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Xehetasun bibliografikoak

Egile Nagusiak:	Yu-Shan Han, Sheng-Lun Zhao, Chu Chen, Kangning Cui, Pingfan Hu, Rui-Feng Wang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2026-02-01
Saila:	Journal of Marine Science and Engineering
Gaiak:	fish detection object detection YOLO attention mechanism lightweight modules precision aquaculture
Sarrera elektronikoa:	https://www.mdpi.com/2077-1312/14/4/351
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