Unsupervised Anomaly Detection in Printed Circuit Boards through Student–Teacher Feature Pyramid Matching
Deep learning methods are currently used in industries to improve the efficiency and quality of the product. Detecting defects on printed circuit boards (PCBs) is a challenging task and is usually solved by automated visual inspection, automated optical inspection, manual inspection, and supervised...
Main Authors: | Venkat Anil Adibhatla, Yu-Chieh Huang, Ming-Chung Chang, Hsu-Chi Kuo, Abhijeet Utekar, Huan-Chuang Chih, Maysam F. Abbod, Jiann-Shing Shieh |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-12-01
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Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/10/24/3177 |
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