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Author

Yi-Liang Zhu

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Preprint Aug 2026

MulVec: Fine-Grained Role-Aware Matching for Training-Free Zero-Shot Composed Image Retrieval

MULVEC is proposed, a role-aware method whose compiler produces a structured query record that is mapped to four retrieval roles: Global describes the full target, Desired states what should appear, Preserve states what should remain, and Forbidden states what should disappear.

Zihao Zhang, Da-Yan Wu, Xin-Ze Liu et al. · 0 citations
Preprint Aug 2026

MulVec: Fine-Grained Role-Aware Matching for Training-Free Zero-Shot Composed Image Retrieval

M UL V EC is proposed, a role-aware method whose compiler produces a structured query record that is mapped to four retrieval roles: Global describes the full target, Desired states what should appear, Preserve states what should remain, and Forbidden states what should disappear.

Zihao Zhang, Da-Yan Wu, Xin-Ze Liu et al. · 0 citations

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