Contribution-Guided Asymmetric Learning for Robust Multimodal Fusion under Imbalance and Noise

Zijing Xu, Yunfeng Kou, Kunming Wu +1

Multimodal learning faces two major challenges: modality imbalance and data noise, which significantly affect the robustness and generalization ability of models. Existing methods…