iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval

arXiv:2405.02951v1 Announce Type: new
Abstract: Given a query consisting of a reference image and a relative caption, Composed Image Retrieval (CIR) aims to retrieve target images visually similar to the reference one while incorporating the changes specified in the relative caption. The reliance of supervised methods on labor-intensive manually labeled datasets hinders their broad applicability. In this work, we introduce a new task, Zero-Shot CIR (ZS-CIR), that addresses CIR without the need for a labeled training dataset. We propose an …

arxiv cs.cv cs.ir image improving retrieval textual type zero-shot