All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
Shift operation is an efficient alternative over depthwise separable convolution. However, it is still bottlenecked by its implementation manner, namely memory movement. To put this direction forward, a new and novel basic component named Sparse Shift Layer (SSL) is introduced in this paper to construct efficient convolutional neural networks. In …