2026
DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors
AAAI 2026technical
Out-of-distribution (OOD) detection remains a fundamental challenge for deep neural networks, particularly due to overconfident predictions on unseen OOD samples during testing. We reveal a key insight: OOD samples predicted as the same class, or given high probabilities for it, are visually more si