Fig 5. Accuracy during training on segmented vs. unsegmented stimuli.

Networks trained on segmented objects achieve better classification accuracy in the early stages of training than the networks trained on unsegmented objects for shallow networks (ResNet-6, ResNet-10), and they converge in less epochs. Individual data points indicate the moment of convergence, defined as the first epoch to reach 95% of the maximum accuracy across all epochs.