A subgroup-based downsampling layer with an equivariant anti-aliasing projection for finite groups, shown to cut parameters and modestly improve equivariance and rotated-input accuracy in small G-CNN experiments.
Roto-translation covariant convolutional networks for medical image analysis
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Group Downsampling with Equivariant Anti-aliasing
A subgroup-based downsampling layer with an equivariant anti-aliasing projection for finite groups, shown to cut parameters and modestly improve equivariance and rotated-input accuracy in small G-CNN experiments.