Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu +3

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-d…