Towards Unsupervised Open World Semantic Segmentation. (arXiv:2201.01073v2 [cs.CV] UPDATED)

For the semantic segmentation of images, state-of-the-art deep neural
networks (DNNs) achieve high segmentation accuracy if that task is restricted
to a closed set of classes. However, as of now DNNs have limited ability to
operate in an open world, where they are tasked to identify pixels belonging to
unknown objects and eventually to learn novel classes, incrementally. Humans
have the capability to say: I don't know what that is, but I've already seen
something like that. Therefore, it is …

arxiv segmentation semantic unsupervised