Zequn Xie

Dynamic Uncertainty Learning with Noisy Correspondence for Text-based Person Retrieval

Dynamic Uncertainty with Noisy Correspondences (DUNC), a novel framework that incorporates two key components that incorporates Cross-modal Evidential Learning (CEL), which models bidirectional alignment uncertainty using a Dirichlet distribution to capture the confidence in image–text similarity, and Dynamic Robust Lo...