Deep image generative modeling and statistical testing for industrial anomaly detection
This thesis addresses the challenge of anomaly detection in images, for industrial applications. It explores advanced methodologies employing both classical image processing techniques and modern generative modeling approaches, specifically focusing on Normalizing Flows and Diffusion Models. As anom...
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| Main Author: | |
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| Format: | doctoralThesis |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12008/49470 |
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