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English(EN) Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding

新的并行管解码方法可大幅缩短视频定位延迟

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了一种名为并行管解码（PTD）的新方法，以提高时空视频定位的效率和准确性。该技术消除了自回归依赖，通过允许同时进行空间和时间定位，显著降低了延迟。PTD将定位过程分解为时间块和时间条件空间块，这些块被并行解码。该方法还引入了解耦块注意力，以在消除跨框依赖的同时保持上下文。实验表明，PTD在延迟方面取得了显著降低，吞吐量有所提高，并且还展示了对相关视频理解任务的泛化能力。 AI

影响 该方法可以显著加快视频分析任务的速度，并提高需要理解和定位视频中对象或事件的AI系统的性能。

排序理由 该集群描述了一篇详细介绍视频定位新方法的最新研究论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新的并行管解码方法可大幅缩短视频定位延迟

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报道来源 [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    在视频中定位一切：重新思考高效生成式时空视频定位

    Parallel Tube Decoding enables simultaneous spatial and temporal video grounding by removing autoregressive dependencies, drastically cutting latency while improving accuracy.

  2. arXiv cs.CV TIER_1 English(EN) · Xingjian Wang, Shijian Wang, Yibo Wang, Zihao Yu, Runhao Fu, Xuelian Cheng, Zongyuan Ge ·

    利用合成课程学习组合时空视频基础

    arXiv:2608.30584v1 Announce Type: new Abstract: Despite the impressive progress of recent MLLMs on spatio-temporal video grounding (STVG), existing evaluations and training data focus primarily on simple queries. They largely overlook the compositional queries prevalent in real-w…

  3. arXiv cs.CV TIER_1 English(EN) · Hanoona Rasheed, Haania Siddiqui, Ming-Hsuan Yang, Fahad Shahbaz Khan, Salman Khan ·

    在视频中定位一切：重新思考高效生成式时空视频精确定位

    arXiv:2608.28192v1 Announce Type: new Abstract: Spatio-temporal video grounding (STVG) requires models to identify when a referred event occurs and localize the target entity throughout that interval. Existing multimodal large language models typically serialize dense localizatio…

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