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Video-to-Task Learning via Motion-Guided Attention for Few-Shot Action Recognition

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究提出了一种新的双运动引导注意力学习方法（DMGAL），旨在改善少样本动作识别中的时空关系建模。该方法通过运动引导注意力模块增强了类原型构建能力，并验证了其在少样本动作识别中的有效性。

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标签

双运动引导注意力 少样本动作识别 时空关系建模 类原型构建 运动引导注意力模块
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