Before revision:  (4) shows that self-supervised pretraining leads to a superior weight initialization, which is especially useful to prevent overfitting and lead to faster model convergence on smaller sized datasets.
After revision:  (4) shows that self-supervised pretraining can outperform fully supervised training and is especially useful to prevent overfitting and lead to faster model convergence on smaller sized datasets.