Convolutions

# (2+1)D Convolution

Introduced by Tran et al. in A Closer Look at Spatiotemporal Convolutions for Action Recognition

A (2+1)D Convolution is a type of convolution used for action recognition convolutional neural networks, with a spatiotemporal volume. As opposed to applying a 3D Convolution over the entire volume, which can be computationally expensive and lead to overfitting, a (2+1)D convolution splits computation into two convolutions: a spatial 2D convolution followed by a temporal 1D convolution.

#### Papers

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