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YOLOv11-GATFormer: A unified framework for wood surface defect detection and classification

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
This study aims to develop a robust and accurate framework for classifying wood surface defects in industrial settings, where traditional methods struggle with variability and overlapping textures. The proposed approach combines YOLOv11 for precise defect ...