Cross-Modal Representation Learning for Integrating Heterogeneous Data in AI Systems
The increasing availability of heterogeneous data sources, including text, images, and structured records, has intensified the need for robust multimodal artificial intelligence systems. However, existing multimodal learning approaches often rely on simplistic fusion strategies and struggle to capture deep semantic rel...