ShuffleNet Block
ShuffleNet Block
A **ShuffleNet Block** is an image model block that utilises a [channel shuffle](https://paperswithcode.com/method/channel-shuffle) operation, along with depthwise convolutions, for an efficient architectural design. It was proposed as part of the [ShuffleNet](https://paperswithcode.com/method/shufflenet) architecture. The starting point is the [Residual Block](https://paperswithcode.com/method/residual-block) unit from [ResNets](https://paperswithcode.com/method/resnet), which is then modified with a pointwise group [convolution](https://paperswithcode.com/method/convolution) and a channel shuffle operation.
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
https://paperswithcode.com/paper/shufflenet-an-extremely-efficient
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices