Wood surface image classification using multi-attention graph Neural Networks
Published online on May 20, 2026
Abstract
Measurement and Control, Ahead of Print.
This study aims to address the challenge of detecting wood surface defects with high accuracy in real-world manufacturing environments, which are affected by various conditions. The goal is to build a hybrid deep learning model that can operate ...
This study aims to address the challenge of detecting wood surface defects with high accuracy in real-world manufacturing environments, which are affected by various conditions. The goal is to build a hybrid deep learning model that can operate ...