arxivcs.CV2026-07-01
Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication
Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret, Carlos Crispim-Junior
Reconstruction-based generative models offer a natural framework for unsupervised out-of-distribution (OOD) detection, but multi-class normality modelling requires a single detector to capture multiple in-distribution manifolds and produce comparable anomaly scores across classes…