Hierarchical abstraction drives human-like 3-D shape processing in deep learning models
Fig 4
Accuracy of human participants and models as a function of point density for upright point clouds (top) and inverted point clouds (bottom).
Error bars represent 95% confidence intervals around the mean accuracy, estimated across participants for human performance and across stimuli for model performance at each proportion level.