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easySelf Supervised And Contrastive Learning
Self-supervised learning (SSL) trains a model on a pretext task without human-labeled data. A team designs a pretext task: predict whether two image patches from the same image are adjacent (positive) or not adjacent (negative). What is this type of pretext task, and what limitation does it have?