Cun Zhu

HaNa: Hardness and Noise-Aware Robust Cross-modal Retrieval

Noisy correspondence in cross-modal retrieval introduces significant challenges due to its inherent difficulty in identification and correction. Although existing methods attempt to minimize the influence of noisy samples by the weighting mechanism, these methods still struggle with performance degr