Google's MoViNets: Mobile Video Networks for Efficient Video Recognition
Google's MoViNets: Mobile Video Networks for Efficient Video Recognition
arXiv abstract https://arxiv.org/abs/2103.11511v1
. . . 3D convolutional neural networks (CNNs) are accurate at video recognition but require large computation and memory budgets and do not support online inference, making them difficult to work on mobile devices. We propose a three-step approach to improve computational efficiency while substantially reducing the peak memory usage of 3D CNNs. . . .
arXiv PDF paper https://arxiv.org/pdf/2103.11511v1.pdf
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