Niccolo Bisagno

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces

The goal of out-of-distribution (OOD) detection is to handle the situations where the test samples are drawn from a different distribution than the training data. In this paper, we argue that OOD samples can be detected more easily if the training data is embedded into a low-dimensional space, such…