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GANs for Anomaly Detection

Anomaly detection using GANs is an emerging research field. Anomaly detection using GANs is an emerging research field. Detecting and correctly classifying something unseen as anomalous is a challenging problem that has been tackled in many different manners over the years. Generative Adversarial Networks (GANs) and the adversarial training process have been recently employed to face this task yielding remarkable results.

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Cite this as

Federico Di Mattia, Paolo Galeone, Michele De Simoni, Emanuele Ghelfi (2024). Dataset: GANs for Anomaly Detection. https://doi.org/10.57702/5qo8yfg9

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Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.1906.11632
Author Federico Di Mattia
More Authors
Paolo Galeone
Michele De Simoni
Emanuele Ghelfi