Interpretable Multi-Hypersphere Deep Anomaly Detection for Open-set Supervised Anomaly Detection.

arXiv:2609.23008v1 Announce Type: cross Abstract: Multi-class open-set anomaly detection requires a model to characterize the normal acceptance domain formed by multiple heterogeneous subdistributions using only class-labeled samples from known normal classes,