LFN-YOLO: precision underwater small object detection via a lightweight reparameterized approach

Underwater object detection plays a significant role in fisheries resource assessment and ecological environment protection. However, traditional underwater object detection methods struggle to achieve accurate detection in complex underwater environments with limited computational resources. This p...

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Auteurs principaux:	Mingxin Liu, Yujie Wu, Ruixin Li, Cong Lin
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2025-01-01
Collection:	Frontiers in Marine Science
Sujets:	underwater object detection lightweight detector small object marine resources multi-scale feature fusion
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fmars.2024.1513740/full
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