Contextually Affinitive Neighborhood Refinery for Deep Clustering

arXiv:2312.07806v2 Announce Type: replace
Abstract: Previous endeavors in self-supervised learning have enlightened the research of deep clustering from an instance discrimination perspective. Built upon this foundation, recent studies further highlight the importance of grouping semantically similar instances. One effective method to achieve this is by promoting the semantic structure preserved by neighborhood consistency. However, the samples in the local neighborhood may be limited due to their close proximity to each other, which may not provide substantial and diverse supervision signals. …

abstract arxiv clustering cs.cv discrimination foundation highlight importance instance instances perspective research self-supervised learning semantic studies supervised learning type