Negative can be positive: A stable and noise-resistant complementary contrastive learning for cross-modal matching

Information Fusion 2026

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Authors: Fangming Zhong, Xinyu He, Haiquan Yu, Xiu Liu, Suhua Zhang

DOI: 10.1016/j.inffus.2026.104156

Cited by: 0

References: 16

Fields of Study & Subjects

Multimodal Machine Learning Applications Advanced Image and Video Retrieval Techniques Domain Adaptation and Few-Shot Learning

References 16