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· 2015

Learning Spatiotemporal Features with 3D Convolutional Networks

Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani et al.

Short summary

3D Convolutional Networks (3D ConvNets) outperform 2D ConvNets for spatiotemporal feature learning, with a homogeneous architecture using small 3x3x3 kernels achieving top performance.

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Field: Computer Vision and Pattern Recognition

Computer Vision and Pattern RecognitionComputer Science