Human Action Recognition With Temporal Dense Sampling Deep Neural Networks
In computer vision, Human Action Recognition (HAR) has always been an important study for human-computer interaction. With more and more effective algorithms in representation learning, specifically Convolutional Neural Network (ConvNet)-based architecture in computer vision, the breakthrough for HAR...
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2019
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