Variational Adapter for Cross-modal Similarity Representation 事件

Variational Adapter for Cross-modal Similarity Representation arXiv:2605.30968v1 Announce Type: new Abstract: The core of vision-language models lies in measuring cross-modal similarity within a unified representation space. However, most image-text matching or multi-class image classification datasets lack fine-grained cross-modal matching annotations, forcing the continuous similarity space into binary classification boundaries. This compression induces false negative samples and significantl