ShuffleNet Block

2000년 도입 · 논문 51편에서 사용

A ShuffleNet Block is an image model block that utilises a channel shuffle operation, along with depthwise convolutions, for an efficient architectural design. It was proposed as part of the ShuffleNet architecture. The starting point is the Residual Block unit from ResNets, which is then modified with a pointwise group convolution and a channel shuffle operation.

출처: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

소개 논문: ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices