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ReUnit: Multi-Granularity Visual Unitization for Long Video Understanding
Long-video understanding is constrained by the limited visual input capacity of video multimodal large language models (Video-MLLMs). Existing methods mainly optimize which content to retain, while the presentation of retained content often remains fixed. As a result, the same balance between spatia
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