DAVIS: OOD Detection via Dominant Activations and Variance for Increased Separation
arXiv:2601.22703v2 Announce Type: replace
Abstract: Detecting out-of-distribution (OOD) inputs is a critical safeguard for deploying machine learning models in the real world. However, most post-hoc detection methods operate on penultimate feature rep…