A mesh-native CNN with variable-size convolution regions and parallel face-collapse pooling achieves competitive classification with substantially lower memory use.
Subdivision-Based Mesh Convolution Networks,
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MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes
A mesh-native CNN with variable-size convolution regions and parallel face-collapse pooling achieves competitive classification with substantially lower memory use.