R(2+1)D
R(2+1)D
A **R(2+1)D** convolutional neural network is a network for action recognition that employs [R(2+1)D](https://paperswithcode.com/method/2-1-d-convolution) convolutions in a [ResNet](https://paperswithcode.com/method/resnet) inspired architecture. The use of these convolutions over regular [3D Convolutions](https://paperswithcode.com/method/3d-convolution) reduces computational complexity, prevents overfitting, and introduces more non-linearities that allow for a better functional relationship to be modeled.
A Closer Look at Spatiotemporal Convolutions for Action Recognition
https://paperswithcode.com/paper/a-closer-look-at-spatiotemporal-convolutions
A Closer Look at Spatiotemporal Convolutions for Action Recognition