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MSCR: Jointly Balancing Utilization Across Modalities and Discovering Synergistic Information

Chen, Xinyu et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitionmachine-learning
In multimodal learning, modality imbalance often lets one modality dominate optimization and keeps the model from fully exploiting cross-modal interactions. Balance-oriented methods such as the Multimodal Competition Regularizer (MCR) perform well by alleviating this imbalance during training. These
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