2023
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
ICLR 2023poster
The translational equivariant nature of Convolutional Neural Networks (CNNs) is a reason for its great success in computer vision. However, networks do not enjoy more general equivariance properties such as rotation or scaling, ultimately limiting their generalization performance. To address this li…