Few-Shot Welding Defect Detection via Graph Self-Attention Neural Network
In industrial quality control, deep learning-based weld defect detection has shown promise but is often hindered by the need for extensive labeled datasets. This study introduces a novel graph neural network (GNN) approach for few-shot classification of weld defect images, aimed at mitigating data dependence and enabli...
Zhong-Yan Zhang, Wei-Hao Shen, Hai-Peng Cui et al.
· Welding Journal · 0 citations