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Framing Effects03:26

Framing Effects

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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时间差距意识注意力模型用于时间行动提案生成

Sorn Sooksatra1, Sitapa Watcharapinchai1

  • 1National Electronic and Computer Technology Center, National Science and Technology Development Agency, Khlong Nueng, Khlong Luang District, Pathum Thani 12120, Thailand.

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|December 27, 2024
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概括
此摘要是机器生成的。

本研究引入了一个注意力机制,以改善视频中的时间行动提案生成. 该方法增强了连续行动的细分,在边界定位方面实现了更高的准确性.

关键词:
注意力机制注意力机制连续行动建议 连续行动建议时间行动 时间行动 时间行动 时间行动 时间行动 时间动作 时间动作 时间动作 时间动作 时间动作 时间动作 时间动作 时间动作 时间动作 时间动作

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科学领域:

  • 计算机视觉 计算机视觉
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 临时行动提案生成旨在从未修剪的视频中提取行动实例.
  • 目前的方法在准确细分连续的行动提案,时间差距最小时面临挑战.

研究的目的:

  • 增强连续行动建议在未经修剪的视频中进行细分.
  • 通过解决时间差距来提高行动边界的定位准确性.

主要方法:

  • 整合一个注意力机制,在相连的组中权衡提案的重要性.
  • 利用提案之间的差距位移来计算边界定位的注意力得分.

主要成果:

  • 短期和连续行动提案的表现显著改善.
  • 在ActivityNet v1.3和Thumos 2014数据集上实现了平均78.22%的回忆.
  • 超越了基于边界的最先进基线.

结论:

  • 提出的注意力机制有效地解决了对连续行动提案进行细分的局限性.
  • 这种方法为视频中的时间动作定位提供了更准确的方法.