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Paper · arXiv

VideoRouter: Query-Adaptive Dual Routing for Efficient Long-Video Understanding

Video large multimodal models increasingly face a scalability bottleneck: long videos produce excessively long visual-token sequences, which sharply increase memory and latency during inference. While existing compression methods are effective in specific settings, most are either weakly query-aware or apply a fixed compression policy across frames, proving suboptimal when visual evidence is unevenly distributed over time. To address this, we present VideoRouter, a query-adaptive dual-router framework built on InternVL for budgeted evidence allocation. The Semantic Router predicts the dominant allocation policy, choosing between broad temporal coverage and adaptive high-resolution preserv...

AuthorsKuanwei Lin, Wenhao Zhang, Ge Li
Primary categorycs.CV
Published7 May 2026
Last updated at source8 May 2026
cs.CVcs.AI
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