DiCENet
DiCENet
**DiCENet** is a convolutional neural network architecture that utilizes dimensional convolutions (and dimension-wise fusion). The dimension-wise convolutions apply light-weight convolutional filtering across each dimension of the input tensor while dimension-wise fusion efficiently combines these dimension-wise representations; allowing the [DiCE Unit](https://paperswithcode.com/method/dice-unit) in the network to efficiently encode spatial and channel-wise information contained in the input tensor.
DiCENet: Dimension-wise Convolutions for Efficient Networks
https://paperswithcode.com/paper/dicenet-dimension-wise-convolutions-for
DiCENet: Dimension-wise Convolutions for Efficient Networks