Christopher Wallis

Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs

Convolutional neural networks (CNNs) constructed natively on the sphere have been developed recently and shown to be highly effective for the analysis of spherical data. While an efficient framework has been formulated, spherical CNNs are nevertheless highly computationally demanding; typically the…