Reviews: Group Equivariant Capsule Networks

Authors present a modification of Capsule networks which guarantees equivarience to SO(2) group of transformations. Since restricting the pose matrices of a capsule network to operate inside the group degrades the performance of the network, they also suggest a method for combining group convolutional layers with capsule layers. Although the theoretical aspect of this work is strong, but experimental evaluations are quite limited without a proper comparison to baselines andc other works. Pros: The paper is well written and conveys the idea clearly. Capsule networks were proposed initially with the promise of better generalization in terms of affine transformations and viewpoint invarience.