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Found 2 papers, 1 papers with code
Iterative energy-based projection on a normal data manifold for anomaly localization
Indeed, an autoencoder trained on normal data is expected to only be able to reconstruct normal features of the data, allowing the segmentation of anomalous pixels in an image via a simple comparison between the image and its autoencoder reconstruction.
Ranked #81 on
Anomaly Detection
on MVTec AD
(Segmentation AUROC metric)
Bayesian estimation of the multifractality parameter for image texture using a Whittle approximation
Multifractal analysis is a useful signal and image processing tool, yet, the accurate estimation of multifractal parameters for image texture remains a challenge.
