AI RESEARCH
NEXT: Multi-Grained Mixture of Experts via Text-Modulation for Multi-Modal Object Re-Identification
arXiv CS.CV
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ArXi:2505.20001v5 Announce Type: replace Multi-modal object Re-IDentification (ReID) aims to obtain complete identity features across heterogeneous modalities. However, most existing methods rely on implicit feature fusion modules, making it difficult to model fine-grained recognition patterns under various challenges in real world. Benefiting from the powerful Multi-modal Large Language Models (MLLMs), the object appearances are effectively translated into descriptive captions.