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arXiv AI By Yuqian Zheng, Hyoju Ahn, Hyeongjin Ahn, Eunil Park

Less is More: Concise Retrieval and Critic-based Re-ranking for Composed Image Retrieval

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The paper introduces Less-is-More CIR, a two-stage, training-free framework for zero-shot composed image retrieval. First, it generates concise target-oriented captions that keep only the most discriminative modification semantics, reducing semantic noise. Second, a critic re-ranking module evaluates retrieved candidates for modification consistency and reference preservation, improving retrieval performance.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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