Xincheng Sun

Learning with Admissibility: Robust Fuzzy Hashing for Cross-Modal Retrieval with Noisy Labels

Recently, cross-modal hashing (CMH) has garnered significant attention due to its low storage costs and high retrieval efficiency. most existing CMH methods implicitly assume the availability of high-quality annotations, which is often violated in real-world scenarios as label noise inevitably arise…