← Search

Xiaopeng Jiang

2 accepted papers

2026

Easy2Hard: From Partially to Fully Unmatched Modalities as Negative Samples in Contrastive Learning

CVPR 2026

Contrastive learning is widely used for generating multimodal data representations by aligning embeddings of different modalities of the same data samples. This alignment is achieved through a loss function that treats matched and unmatched modality pairs as positive and negative samples within a da

Cited by 0SourcecodeScholar