MyriadAL: Active Few Shot Learning for Histopathology

arXiv:2310.16161v2 Announce Type: replace
Abstract: Active Learning (AL) and Few Shot Learning (FSL) are two label-efficient methods which have achieved excellent results recently. However, most prior arts in both learning paradigms fail to explore the wealth of the vast unlabelled data. In this study, we address this issue in the scenario where the annotation budget is very limited, yet a large amount of unlabelled data for the target task is available. We frame this work in the context of histopathology …

abstract active learning arts arxiv cs.cv data explore however issue prior results study type vast wealth