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Ruikang Luo1, Aman Anand1, Farhana Zulkernine1
1School of Computing, Queen's University, Kingston, ON K7L 2N8, Canada.
本研究介绍了一种轻量级的双流膨胀3D (I3D) 模型,用于高效的人类活动识别 (HAR). 通过用低分辨率的RGB输入取代光流并集成YOLOv5,它提高了准确性并降低了实时应用程序的计算成本.
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