Generalized Category Discovery. (arXiv:2201.02609v1 [cs.CV])

In this paper, we consider a highly general image recognition setting
wherein, given a labelled and unlabelled set of images, the task is to
categorize all images in the unlabelled set. Here, the unlabelled images may
come from labelled classes or from novel ones. Existing recognition methods are
not able to deal with this setting, because they make several restrictive
assumptions, such as the unlabelled instances only coming from known - or
unknown - classes and the number of unknown …

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