2023
Noisy Correspondence Learning With Meta Similarity Correction
CVPR 2023poster
Despite the success of multimodal learning in cross-modal retrieval task, the remarkable progress relies on the correct correspondence among multimedia data. However, collecting such ideal data is expensive and time-consuming. In practice, most widely used datasets are harvested from the Internet an…