Defect recognition in line-space patterns aided by deep learning with data augmentation
Author:
Affiliation:
1. Chonnam National University, Graduate School, Department of Polymer Engineering, Gwangju
2. Seoul National University, School of Chemical and Biological Engineering, Seoul
Publisher
SPIE-Intl Soc Optical Eng
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Improved defect detection and classification method for advanced IC nodes by using slicing aided hyper inference with refinement strategy;AIP Conference Proceedings;2024
2. Addressing misclassification costs in machine learning through asymmetric loss functions;Metrology, Inspection, and Process Control XXXVII;2023-04-27
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