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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...

Täydet tiedot

Tallennettuna:
Päätekijät: Yu-Shan Han, Sheng-Lun Zhao, Chu Chen, Kangning Cui, Pingfan Hu, Rui-Feng Wang
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2026-02-01
Sarja:Journal of Marine Science and Engineering
Aiheet:
fish detection
object detection
YOLO
attention mechanism
lightweight modules
precision aquaculture
Linkit:https://www.mdpi.com/2077-1312/14/4/351
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