Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection

Tongzhi Niu, Bin Li, Kai Li +4

In the surface defect detection, there are some suspicious regions that cannot be uniquely classified as abnormal or normal. The annotating of suspicious regions is easily affected…