Efficacy of Pixel-Level OOD Detection for Semantic Segmentation

ICLR 2020 Matt AngusKrzysztof CzarneckiRick Salay

The detection of out of distribution samples for image classification has been widely researched. Safety critical applications, such as autonomous driving, would benefit from the ability to localise the unusual objects causing the image to be out of distribution... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper