Open access
2026
FS-MSDANet: A Multi-Scale Dynamic Attention Network for Surface Defect Detection in Wear-Resistant Steel
A few-shot surface defect detection approach, termed Few-Shot Multi-Scale Dynamic Attention Network (FS-MSDANet), which performs well in accuracy and adeptly addresses challenges such as limited training samples, overfitting, and inadequate generalization is presented.
Jie Song, Gongxiang Cui, Chaoxiang Yang et al.
· IEEE Access · 0 citations