TSW-YOLO-v8n: Optimization of Detection Algorithms for Surface Defects on Sawn Timber

The goal of this work was to better meet the demand for rapid detection of surface defects in sawn timber in forestry production. This paper introduces a two-way feature fusion network based on the YOLO-v8 algorithm and proposes a feature fusion network model that combines the attention mechanism an...

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Autors principals:	Mingtao Wang, Mingxi Li, Wenyan Cui, Xiaoyang Xiang, Huaqiong Duo
Format:	Artigo
Idioma:	Inglês
Publicat:	North Carolina State University 2023-10-01
Col·lecció:	BioResources
Matèries:	deep learning target detection surface defects of sawn timber yolo-v8 attention mechanism loss function feature fusion
Accés en línia:	https://ojs.bioresources.com/index.php/BRJ/article/view/22962
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