Anomaly Detection Using Siamese Network with Attention Mechanism for Few-Shot Learning
Automated inspection using deep-learning has been attracting attention for visual inspection at the manufacturing site. However, the inability to obtain sufficient abnormal product data for training deep- learning models is a problem in practical application. This study proposes an anomaly detection...
Main Authors: | Hironori Takimoto, Junya Seki, Sulfayanti F. Situju, Akihiro Kanagawa |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2022-12-01
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Series: | Applied Artificial Intelligence |
Online Access: | http://dx.doi.org/10.1080/08839514.2022.2094885 |
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