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Hierarchical abstraction drives human-like 3-D shape processing in deep learning models
Fig 12
Accuracy of variants of DGCNN models as a function of varying point density.
DGCNN + DS = DGCNN model with an additional Downsampling layer after each EdgeConv layer.
doi: https://doi.org/10.1371/journal.pcbi.1014047.g012