Has focused on improving permutation equivariant backbones, the impact of
Global pooling, and regression/classification head. Of our interest are permutation invariant networks, whichĪre composed of a permutation equivariant backbone, permutation invariant Geometric deep learning provides aīlueprint for designing effective set neural networks by incorporating Significant attention from the community. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification, by Ashkan Shahbazi and 4 other authors Download PDF Abstract: Learning from set-structured data, such as point clouds, has gained
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