2018
Learning Steerable Filters for Rotation Equivariant CNNs
CVPR 2018poster
In many machine learning tasks it is desirable that a model's prediction transforms in an equivariant way under transformations of its input. Convolutional neural networks (CNNs) implement translational equivariance by construction; for other transformations, however, they are compelled to learn the…