An in-depth look at SimCLR, a self-supervised learning framework that leverages contrastive learning to learn visual representations without labeled data.
Understanding Momentum Contrastive Learning for Unsupervised Visual Representation Learning
Exploring Swapping Assignments between Views for Unsupervised Learning of Visual Features
