PaIR: Partition-Based Information Rebalancing for Robust Text-Based Person Search
A unified Partition-based Information Rebalancing (PaIR) framework to realize balanced optimization and precise alignment of cross-modal information from both global content and local part dimensions and to eliminate global–local semantic discontinuity and enhance fine-grained cross-modal matching capability.