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新代理框架ADEPT增强交互式视频检索

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ADEPT，一个旨在通过解决用户查询中的歧义来改进从大型数据集中检索视频的新框架。与传统的单轮方法不同，ADEPT采用一个熵驱动的决策引擎，该引擎动态地选择是提出澄清性问题还是优化搜索参数。这个无需训练的代理在具有挑战性的数据集上显著优于现有的非交互式和启发式基线，为交互式视频检索树立了新的标杆。 AI

影响 该框架可以通过更好地理解复杂或模糊的搜索意图，来改进用户在海量档案中查找特定视频内容的方式。

排序理由 该集群描述了一篇关于视频检索新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新代理框架ADEPT增强交互式视频检索

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该集群描述了一篇关于视频检索新框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ke Chen, Shengyuan Han, Yongfeng Huang, Yujin Zhu, Jingwei Xiong, Liang Xu, Jundong Liu ·

    ADEPT：一种熵驱动的双策略智能体用于交互式视频检索

    arXiv:2606.28326v1 Announce Type: cross Abstract: This research aims to solve the challenge of video retrieval from massive datasets, caused by ambiguous user queries. Prevailing single-round retrieval paradigms face a performance bottleneck, as they lack effective feedback mecha…

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