SimCLR Data Augmentation Pipeline
This is video no. 4 in a series walking through simCLR research paper, going over the data augmentation pipeline.
William Falcon, PyTorch Lightning founder, and Ananya Harsh Ja, Lightning research engineer, deep dive into simCLR (“A Simple Framework for Contrastive Learning of Visual Representations”), self-supervised representation learning on images. Start here for simCLR overview: https://www.youtube.com/watch?v=pDJx8i3jenA&list=PLaMu-SDt_RB4k8VXiB3hOdsn0Y3GoXo1k
In the next videos, we will go over other key ideas of the paper, and how they are implemented with PyTorch Lightning.
Next up: Projection head – https://youtu.be/tnktBNn7ygQ
Paper: https://arxiv.org/abs/2002.05709
PyTorch Lightning implementation: https://github.com/PyTorchLightning/pytorch-lightning-bolts/tree/master/pl_bolts/models/self_supervised/simclr
Colab: https://colab.research.google.com/drive/1UK8BD3xvTpuSj75blz8hThfXksh19YbA?usp=sharing
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