We recently published another article in Towards Data Science to provide a more accessible entry into our research.

Conventional spherical CNNs are not scalable to high resolution classification tasks. In this article we overview our research on spherical scattering networks, which can be used to scale spherical deep learning to high-resolution input data typical of many practical applications, with spherical signals of many tens of megapixels and beyond.

To learn more please see the full article on Towards Data Science.