SimCLR

A Framework for Contrastive Learning of Visual Representations

Book •

Author

Chen, Kaiming He, and Jianbo Chen

SimCLR is a method for contrastive learning that maximizes agreement between differently augmented views of the same data example.

It is used for self-supervised learning tasks in computer vision.

Mentioned by

Tim Scarfe

Mentioned in 1 episodes

Mentioned by

Tim Scarfe

when discussing self-supervised learning papers from FAIR.

21 snips

#55 Self-Supervised Vision Models (Dr. Ishan Misra - FAIR).

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