Imbalanced multimodal learning that prioritizes the performance-dominant modality via unimodal ranking and asymmetric gradient modulation outperforms balanced approaches.
Dynamic-hierarchical attention distillation with synergetic instance selection for land cover classification using missing heterogeneity images,
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PDMP: Rethinking Balanced Multimodal Learning via Performance-Dominant Modality Prioritization
Imbalanced multimodal learning that prioritizes the performance-dominant modality via unimodal ranking and asymmetric gradient modulation outperforms balanced approaches.