most citedMXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2023★ 2 cited

MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations

Ye Wang, Bowei Jiang, Changqing Zou +1

Multifold observations are common for different data modalities, e.g., a 3D shape can be represented by multi-view images and an image can be described with different captions. Exi…