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Data Augmentation for Self-Secure Learning
A lot of self-supervised learning techniques to pre-train vision systems are based on data augmentation. Data augmentation is the idea of artificially increasing the size of your training set by distorting the images that you have in ways that don't change the nature of the image. If you try to know a supervised classifier with augmented data, you're going to get better results.