Fusion Anything: A Generalized Multimodal Foundation Model
Making prediction with multimodal data is widely used in diverse scenarios. Existing multimodal fusion models, once deployed, can only handle predefined modalities (e.g., vision, text and audio) and single task, making it difficult to quickly adapt to new downstream applications. Therefore, a natural yet aggressive que...
Hui-Zi Cui, Zong-Bo Han, Chen Ding et al.
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