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What is Spin-Weighted Spherical CNNs about?

This paper introduces a novel type of spherical CNN that utilizes spin-weighted spherical functions (SWSFs) to achieve efficient and expressive representations for spherical data. By defining convolutions and cross-correlations for SWSFs, the proposed spin-weighted spherical CNN (SWSCNN) can handle anisotropic filters and equivariant vector fields, outperforming previous methods in tasks such as spherical image classification and 3D shape classification. The authors provide experimental results demonstratin

Author

lmc2085593475

Language

EN