Stratified Consistency Learning for Text-to-Image Person Re-Identification
This work addresses critical challenges in text-to-image person re-identification (TIReID), including inconsistent correspondences across samples in human-annotated datasets and insufficient exploration of fine-grained consistency information between sample pairs. To mitigate the adverse effects of inter-modal inconsis...