Leveraging Vector-Quantized Variational Autoencoder Inner Metrics for Anomaly Detection
Anomaly Detection (AD) is an important research topic, with very diverse applications such as industrial defect detection, medical diagnosis, fraud detection, intrusion detection, etc. Within the last few years, deep learning-based methods have become the standard approach for AD. In many practical...
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| Published in: | International Conference on Pattern Recognition pp. 435 - 441 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
21.08.2022
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| Subjects: | |
| ISSN: | 2831-7475 |
| Online Access: | Get full text |
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