2026
Enhancing Out-of-Distribution Detection with Extended Logit Normalization
CVPR 2026
Out-of-distribution (OOD) detection is essential for the safe deployment of machine learning models. While extensive work has focused on designing effective scoring functions for OOD detection, relatively few studies explore training neural networks with calibration-oriented objectives, which often