Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection

Nawid Keshtmand, Raul Santos-Rodriguez, Jonathan Lawry

A recent popular approach to out-of-distribution (OOD) detection is based on a self-supervised learning technique referred to as contrastive learning. There are two main variants o…