Spherical-Harmonics

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Summary of Weiler et al.'s 3D Steerable CNNs paper from NeurIPS 2018, which introduces SE(3)-equivariant convolutional networks for volumetric data …