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The video tutorial showcases clusters of images from the ImageNet dataset, revealing that they all represent the same object classes like balloons, birds, and fish. Surprisingly, these clusters were obtained without using any labels from the dataset. The paper being discussed, "Learning to Classify Images Without Labels" by Water et al., outlines a three-step procedure that utilizes self-supervised learning to obtain accurate image representations.
