2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
ECCV 2018poster
As deep learning methods form a critical part in commercially important applications such as autonomous driving and medical diagnostics, it is important to reliably detect out-of-distribution (OOD) inputs while employing these algorithms. In this work, we propose an OOD detection algorithm which com…