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What is: Anti-Alias Downsampling?

SourceMaking Convolutional Networks Shift-Invariant Again
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

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. The smoothing factor can be adjusted by changing the blur kernel filter size, where a larger filter size results in increased blur.