Hong-Zhao Li

Multimodal Domain Generalization via Adaptive Dual-Objective Feature Learning

Adaptive Dual-Objective Feature Learning for Multimodal Domain Generalization (ADMMDG), a framework that separates feature learning into two complementary components: features that capture shared patterns with both modality and domain invariance, and modality specific features that preserve the unique characteristics of each modality while maintaining domain invariance.