Learning Spatiotemporal Features with 3D Convolutional Networks
We propose a simple, yet effective approach for spatiotemporal feature learning using deep 3-dimensional convolutional networks (3D ConvNets) trained on a large scale supervised...
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1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 9,293
- Institution
- Meta (Israel)
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h-index
1
h-index: Number of publications with at least h citations each.