Convolutional Neural Networks

# R(2+1)D

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

A R(2+1)D convolutional neural network is a network for action recognition that employs R(2+1)D convolutions in a ResNet inspired architecture. The use of these convolutions over regular 3D Convolutions reduces computational complexity, prevents overfitting, and introduces more non-linearities that allow for a better functional relationship to be modeled.

#### Papers

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