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English(EN) HAPACT: A Benchmark For Human-Centric Physical Impact Localization in Movies

新的HAPACT基准针对视频中的物理影响定位

研究人员推出HAPACT,这是一个新的基准和数据集,旨在改进视频中以人为中心的物理影响的定位。该基准源自电影片段,侧重于识别影响人体的强制性事件的时间和空间方面。该数据集包含超过2.8K个视频-查询对,拥有超过20K个标注帧,利用了以观众为中心的标注和文本条件定位。使用现有的视频时刻检索和人景交互模型进行的初步评估表明,物理影响定位仍然是一项具有挑战性的任务,突显了HAPACT在推动该领域研究方面的必要性。 AI

影响 该基准可以推动人工智能系统在视频理解和物理推理方面的进步。

排序理由 该集群包含一篇研究论文,介绍了一个特定人工智能任务的新基准和数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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新的HAPACT基准针对视频中的物理影响定位

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该集群包含一篇研究论文,介绍了一个特定人工智能任务的新基准和数据集。[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) · Youngrae Kim, Yejin Jang, Eunho Kim, Youjin Sung, Kun-Woo Song, Sangpil Kim, Sang Ho Yoon ·

    HAPACT:电影中以人为本的物理影响定位基准

    arXiv:2610.22895v1 Announce Type: cross Abstract: Physical reasoning about humans in videos has largely focused on everyday interactions, where contact, pressure, pose, and motion support embodied perception and contact-aware applications. Still, short and forceful properties lik…