A visual instruction tuning model that combines global fusion and dual-expert token selection to cut visual tokens by 75 to 95 percent with comparable or better benchmark scores.
Flamingo: a visual language model for few-shot learning
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Top-Down Compression: Revisit Efficient Vision Token Projection for Visual Instruction Tuning
A visual instruction tuning model that combines global fusion and dual-expert token selection to cut visual tokens by 75 to 95 percent with comparable or better benchmark scores.