Feature: A new contrastive loss (Barlow Twins)

[Nimrais]

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Description

Implementation of a negative-free contrastive loss from Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

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Type of Change

• Examples / docs / tutorials / contributors update
• Bug fix (non-breaking change which fixes an issue)
• Improvement (non-breaking change which improves an existing feature)
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[Nimrais]

I have run pytest . but test_reid_pipeline fails. I am sure it's not dependent on my code but it can be connected with my machine (apple M1). The test fails on assert runner.loader_metrics["cmc01"] > 0.7.

[Scitator]

I have run pytest . but test_reid_pipeline fails. I am sure it's not dependent on my code but it can be connected with my machine (apple M1). The test fails on assert runner.loader_metrics["cmc01"] > 0.7.

that's why we have stable GitHub actions tests :)

[pep8speaks]

Hello @Nimrais! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2021-07-23 11:39:46 UTC

[mergify]

This pull request is now in conflicts. @Nimrais, could you fix it? 🙏