Image Clustering Conditioned on Text Criteria

arXiv:2310.18297v4 Announce Type: replace
Abstract: Classical clustering methods do not provide users with direct control of the clustering results, and the clustering results may not be consistent with the relevant criterion that a user has in mind. In this work, we present a new methodology for performing image clustering based on user-specified text criteria by leveraging modern vision-language models and large language models. We call our method Image Clustering Conditioned on Text Criteria (IC|TC), and it represents a different paradigm …

abstract arxiv clustering consistent control criterion cs.ai cs.cv image methodology mind text type work