Blind Localization and Clustering of Anomalies in Textures

arXiv:2404.12246v1 Announce Type: new
Abstract: Anomaly detection and localization in images is a growing field in computer vision. In this area, a seemingly understudied problem is anomaly clustering, i.e., identifying and grouping different types of anomalies in a fully unsupervised manner. In this work, we propose a novel method for clustering anomalies in largely stationary images (textures) in a blind setting. That is, the input consists of normal and anomalous images without distinction and without labels. What contributes to the …

arxiv blind clustering cs.cv localization type