AI RESEARCH
HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval
arXiv CS.CV
•
ArXi:2604.18037v1 Announce Type: new Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference image and modification text. Although this task has nstrated promising applications in personalized search and recommendation systems, it encounters a severe challenge in practical scenarios known as the Noise Triplet Correspondence (NTC) problem. This issue primarily arises from the high cost and subjectivity involved in annotating triplet data.