Open access
Sep 2026
Cross-Modal Representation Learning for Integrating Heterogeneous Data in AI Systems
A cross-modal representation learning framework that aligns heterogeneous modalities within a shared latent representation space and exhibits strong robustness under missing modality conditions, with significantly lower performance degradation compared to baseline approaches is proposed.
I. Ibrahim, M. Alshar'e, I. Sanjaya et al.
· Journal of Data Science · 0 citations