2020
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
RA-L 2020
Deep learning has enabled remarkable advances in scene understanding, particularly in semantic segmentation tasks. Yet, current state of the art approaches are limited to a closed set of classes, and fail when facing novel elements, also known as out of distribution (OoD) data. This is a problem as