Self-supervised Learning is an unsupervised learning method where the supervised learning task is created out of the unlabelled input data.
This task could be as simple as given the upper-half of the image, predict the lower-half of the same image, or given the grayscale version of the colored image, predict the RGB channels of the same image, etc.

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Self-Supervised Learning Methods for Computer Vision
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