Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training

27 May 2019Amanda BergJörgen AhlbergMichael Felsberg

Unsupervised learning of anomaly detection in high-dimensional data, such as images, is a challenging problem recently subject to intense research. Through careful modelling of the data distribution of normal samples, it is possible to detect deviant samples, so called anomalies... (read more)

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