Deep Learning, Artificial Intelligence, Self Supervised Learning, Clustering, Contrastive Learning.
same image, is proposed, which simultaneously clusters the data while enforcing consistency between cluster assignments produced for different augmentations (or “views”) of the same image, instead of comparing features directly as in contrastive learning. A “swapped” prediction mechanism is used