MM-ORIENT combines cross-modal relation graphs and hierarchical monomodal attention to learn noise-robust multimodal representations for multiple tasks.
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
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A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension
MM-ORIENT combines cross-modal relation graphs and hierarchical monomodal attention to learn noise-robust multimodal representations for multiple tasks.