Using efficient group pseudo-3D network to learn spatio-temporal features

Action classification is a challenging problem in computer vision in recent years; the three-dimensional convolutional neural network plays an important role in spatio-temporal feature extraction. However, the 3D convolution approach needs expensive computation and memory resources. This paper propo...

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Veröffentlicht in:Signal, image and video processing image and video processing, 2021-03, Vol.15 (2), p.361-369
Hauptverfasser: Chen, Yaosen, Guo, Bing, Shen, Yan, Wang, Wei, Suo, Xinhua, Zhang, Zhen
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Sprache:eng
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