MoCo: Momentum Contrast for Unsupervised Visual Representation Learning
It stabilizes and scales contrastive learning by maintaining a dynamic dictionary with momentum-based updates, becoming a cornerstone for modern SSL methods.
[Read More]
SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
Learn invariant representations by maximizing similarity between augmented views of the same image while contrasting with others.
[Read More]