TetraSphere integrates a TetraTransform based on steerable spherical neurons into VN-DGCNN to produce an O(3)-equivariant descriptor that reports new SOTA results on rotated ScanObjectNN, ModelNet40 classification, and ShapeNet segmentation.
Learning rotation-invariant rep- resentations of point clouds using aligned edge convolutional neural networks
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TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
TetraSphere integrates a TetraTransform based on steerable spherical neurons into VN-DGCNN to produce an O(3)-equivariant descriptor that reports new SOTA results on rotated ScanObjectNN, ModelNet40 classification, and ShapeNet segmentation.