Ziang Tan

Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels

Cross-modal hashing (CMH) is an effective tool for large-scale retrieval due to its low storage cost and high efficiency. However, real-world multi-modal datasets often contain noisy annotations, which can significantly impair model performance. Many existing methods address this issue by using the