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Beyond Forced Modality Balance: Intrinsic Information Budgets for Multimodal Learning

Xiong, Zechang et al.
arXiv (All) · Papers
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Multimodal models often converge to a dominant-modality solution, in which a stronger, faster-converging modality overshadows weaker ones. This modality imbalance causes suboptimal performance. Existing methods attempt to balance different modalities by reweighting gradients or losses. However, they
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