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Hierarchical abstraction drives human-like 3-D shape processing in deep learning models
Fig 2
The architectures of DGCNN (top) and Point Transformer (bottom).
N: number of points in each point cloud. MLP: Multi-layer perceptron, consisting of multiple fully connected layers. ⊕: concatenation.
doi: https://doi.org/10.1371/journal.pcbi.1014047.g002