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This text discusses clusters of images showing the same objects like balloons, birds, and sharks from the ImageNet dataset. The clusters represent object classes without using labels from the dataset. The paper "Learning to Classify Images Without Labels" by Water, Guns Becca, Simon Van Daan, Hender Stung, Stamatis Georg Ulis, Mark Pro Simmons, and Luke Fungal introduces a three-step procedure using self-supervised learning to obtain good image representations.
