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Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions
For 4k spherical images we realize a saving of $10^9$ in computational cost and $10^4$ in memory usage when compared to the most efficient alternative equivariant spherical convolution.
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