Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer
In the various industrial manufacturing processes, the automatic visual inspection system is an essential part as it reduces the chances of delivering defective products and the cost of training and hiring experts for manual inspection. In this work, we propose a new unsupervised anomaly detection m...
| Auteurs principaux: | , |
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| Format: | Article |
| Langue: | English |
| Publié: |
IEEE
2024-01-01
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| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/10666671/ |