No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection

Mohamed Yousef, Marcel Ackermann, Unmesh Kurup +1

Unsupervised Anomaly detection (AD) requires building a notion of normalcy, distinguishing in-distribution (ID) and out-of-distribution (OOD) data, using only available ID samples.…