Deep Learning, Artificial Intelligence, Self Supervised Learning, Clustering, Contrastive Learning.
Experimental Results 4.1. Linear Classification Linear classification on ImageNet. When using frozen features (left), SwAV outperforms the state of the art by +4.2% top-1 accuracy and is only 1.2% below the performance of a fully supervised model. 4.2. Semi-Supervised Learning On semi-supervised