Jan 25, 2023 · In this paper, we proposed a framework that learns trustworthy models from noisy labels for surface defect defection.
Aug 24, 2024 · The paper introduces an innovative framework for learning trustworthy models from noisy labels in surface defect detection.
Jan 25, 2023 · A framework that learns trustworthy models from noisy labels for surface defect defection is proposed and results indicate not only the ...
May 29, 2024 · In this paper, we proposed a framework that learns trustworthy models from noisy labels for surface defect defection. At first, to avoid the ...
In the surface defect detection, there are some suspicious regions that cannot be uniquely classified as abnormal or normal. The annotating of suspicious ...
Oct 22, 2024 · This method allows precision and universality, especially in the detection of small defects by reusing shallow features. Meanwhile, Niu et al. [ ...
In this paper, we proposed a framework that learns trustworthy models from noisy labels for surface defect defection. At first, to avoid the negative impact of ...
Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection · no code implementations • 25 Jan 2023 • Tongzhi Niu, Bin Li ...
Learning Trustworthy Model from Noisy Labels based on Rough Set for Surface Defect Detection · no code implementations • 25 Jan 2023 • Tongzhi Niu, Bin Li, Kai ...
People also ask
Which is better for learning with noisy labels the semi supervised method or modeling label noise?
What is surface defect detection?
Learning trustworthy model from noisy labels based on rough set for surface defect detection. Appl. Soft Comput. 165: 112138 (2024). [j19]. view. electronic ...