Anti-Alias Downsampling
Anti-Alias Downsampling
**Anti-Alias Downsampling (AA)** aims to improve the shift-equivariance of deep networks. Max-pooling is inherently composed of two operations. The first operation is to densely evaluate the max operator and second operation is naive subsampling. AA is proposed as a low-pass filter between them to achieve practical anti-aliasing in any existing strided layer such as strided [convolution](https://paperswithcode.com/method/convolution). The smoothing factor can be adjusted by changing the blur kernel filter size, where a larger filter size results in increased blur.
Making Convolutional Networks Shift-Invariant Again
https://paperswithcode.com/paper/190411486
Making Convolutional Networks Shift-Invariant Again