CORE: Robust Out-of-Distribution Detection via Confidence and Orthogonal Residual Scoring — Quantapedia

Out-of-distribution (OOD) detection is essential for deploying deep learning models reliably, yet no single method performs consistently across architectures and datasets -- a scorer that leads on one