Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors
英文标题：Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors
arXiv:2607.15689v1 Announce Type: new Abstract: Understanding long videos with multimodal large language models (MLLMs) requires selecting a compact set of frames from thousands of candidates, yet identifying the right frames seemingly requires understanding the video first. We resolve this circula
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arXiv:2607.15689v1 Announce Type: new Abstract: Understanding long videos with multimodal large language models (MLLMs) requires selecting a compact set of frames from thousands of candidates, yet identifying the right frames seemingly requires understanding the video first. We resolve this circula
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