Hierarchical abstraction drives human-like 3-D shape processing in deep learning models

Fig 5

Confusion matrices for human responses, DGCNN predictions, and Point Transformer predictions in Experiment 1 upright condition.

Rows represent true labels and columns represent predicted labels.