Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition

arXiv:2404.10370v1 Announce Type: cross
Abstract: Open set recognition (OSR) is a critical aspect of machine learning, addressing the challenge of detecting novel classes during inference. Within the realm of deep learning, neural classifiers trained on a closed set of data typically struggle to identify novel classes, leading to erroneous predictions. To address this issue, various heuristic methods have been proposed, allowing models to express uncertainty by stating "I don't know." However, a gap in the literature remains, as there has …

abstract arxiv challenge classifiers cs.cv cs.lg data deep learning diverse feature identify inference machine machine learning novel realm recognition set struggle type