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Video2LoRA: Parametric video internalization for VLMs

Method reduces video token usage in vision-language models by internalizing video into LoRA parameters via a perceiver network. Achieves comparable performance to full-frame methods while using fewer tokens.

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7 days ago
Video2LoRA: Parametric video internalization for VLMs — AIBriefs