OOD detection through embedding clusters

Overview

Uses a CIFAR-10 example to compare embedding structure from cross-entropy training, SupCon and SimCLR. It links cluster separation and distance-based scores to OOD detection and AUROC, while explaining how the preferred approach depends on the data, model and distance formulation.