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 |
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Sprache: | eng |
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