The SimCLRv2 Framework

Author(s): Lawrence Alaso Krukrubo

Originally published on Towards AI.

A huge, Self-Learning Algorithm usually performs much better…

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Huge Self-Supervised Models are Strong Semi-Supervised learners..

IntroductionKey insightResultsWhy it mattersI’m thinkingThe era of Computer Vision is upon us… U+007C Img_Credit

The long-standing problem in computer vision, where models find it hard to learn on a few labeled examples while making use of large amounts of unlabelled data for training, may be coming to an end.

The SimCLR frameworkResearchers at Google Research, Brain team, comprising Geoffrey Hinton, Ting Chen, and a few others built the SimCLR Framework. SimCLR is a simple framework for contrastive learning of visual representations. SimCLR first learns generic representations of images on an unlabelled dataset, and then it can… Read the full blog for free on Medium.

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Published via Towards AI