Self-Supervised Autoencoders for Visual Anomaly Detection
We focus on detecting anomalies in images where the data distribution is supported by a lower-dimensional embedded manifold. Approaches based on autoencoders have aimed to control their capacity either by reducing the size of the bottleneck layer or by imposing sparsity constraints on their activati...
| Huvudupphovsmän: | , , |
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| Materialtyp: | Artikel |
| Språk: | English |
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MDPI AG
2024-12-01
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| Serie: | Mathematics |
| Ämnen: | |
| Länkar: | https://www.mdpi.com/2227-7390/12/24/3988 |