28 citations · 50 across the 2 of their papers we have counts for
2 papers
cs.CV2020★ 28 cited
Anomaly localization by modeling perceptual features
David Dehaene, Pierre Eline
Although unsupervised generative modeling of an image dataset using a Variational AutoEncoder (VAE) has been used to detect anomalous images, or anomalous regions in images, recent…
cs.CV2020★ 22 cited
Iterative energy-based projection on a normal data manifold for anomaly localization
David Dehaene, Oriel Frigo, Sébastien Combrexelle +1
Autoencoder reconstructions are widely used for the task of unsupervised anomaly localization. Indeed, an autoencoder trained on normal data is expected to only be able to reconstr…