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English(EN) SAGE: Synchronized Action-Gaze Recognition and Anticipation for Human Behavior Understanding

新的SAGE框架统一了动作和注视的识别与预测

研究人员推出SAGE,一个旨在同时识别和预测人类动作及注视模式的新框架。与以往将这些元素分开处理的模型不同,SAGE将它们整合到一个单一的、端到端可训练的模型中。这种统一的方法利用了基于Transformer的架构,并结合了时空注意力机制,该机制纳入了注视数据来预测当前和未来的动作及注视行为。为了支持进一步的研究,还建立了一个名为Exo-Cook的新基准数据集。 AI

影响 通过同步的动作和注视分析更好地理解人类意图,这项研究可能带来更直观的人机交互。

排序理由 这是一篇介绍新模型和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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新的SAGE框架统一了动作和注视的识别与预测

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这是一篇介绍新模型和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chenyi Kuang, Nakul Agarwal ·

    SAGE:用于人类行为理解的同步动作-注视识别与预测

    arXiv:2607.04017v1 Announce Type: new Abstract: Human object interaction (HOI), gaze pattern, and their anticipation are intricately linked, providing valuable insights into cognitive processes, intentions, and behavior. However, most existing models handle gaze and actions separ…