Hierarchical abstraction drives human-like 3-D shape processing in deep learning models
Fig 7
Accuracy of human participants and models on Lego-like point clouds with varying voxel sizes.
Error bars represent 95% confidence intervals around the mean accuracy, estimated across participants for human performance and across stimuli for model performance at each voxel size level.