Figure 1. Self-supervised learning main workflow.

(top): Self-supervised learning scheme is applied by training an auxiliary task using pseudo labels generated from a large unlabeled dataset. (bottom): The learned representations are transferred from the pretext task to the down-stream task to accomplish the training on small amount of data with ground truth labels.