Abstract. Introduces SimCLR, a contrastive self-supervised learning framework that learns visual representations by maximising agreement between differently augmented views of the same image. SimCLR closed much of the gap between self-supervised and supervised ImageNet features.
Tags:self-supervisedcontrastive-learningvision
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