Contextualised Out-of-Distribution Detection using Pattern Identication

no code implementations • 24 Oct 2023 • Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

In this work, we propose CODE, an extension of existing work from the field of explainable AI that identifies class-specific recurring patterns to build a robust Out-of-Distribution (OoD) detection method for visual classifiers.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Interpretable Out-Of-Distribution Detection Using Pattern Identification

no code implementations • 24 Jan 2023 • Romain Xu-Darme, Julien Girard-Satabin, Darryl Hond, Gabriele Incorvaia, Zakaria Chihani

Out-of-distribution (OoD) detection for data-based programs is a goal of paramount importance.

Out-of-Distribution Detection Out of Distribution (OOD) Detection