Perceptual Image Anomaly Detection

12 Sep 2019Nina TuluptcevaBart BakkerIrina FedulovaAnton Konushin

We present a novel method for image anomaly detection, where algorithms that use samples drawn from some distribution of "normal" data, aim to detect out-of-distribution (abnormal) samples. Our approach includes a combination of encoder and generator for mapping an image distribution to a predefined latent distribution and vice versa... (read more)

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