Applying Self-supervised Learning for Image Recognition with PyTorch

Project flow
Differnece of attention map between supervised learnign and self-supervised learning.

Project Summary

  • Implemented two self-supervised learning frameworks, SimCLR and Rotnet, for image recognition tasks.
  • Built linear classifiers for the two self-supervised learning methods and compared their performance with supervised learning.

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