Skip to content

[HUB] add SOTA image compressor for classification. #213

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 4 commits into
base: master
Choose a base branch
from

Conversation

YannDubs
Copy link

@YannDubs YannDubs commented Jul 7, 2021

I'm adding the CLIP self-supervised compressor from FAIR + Vector Institute.

This allows compressing any dataset orders of magnitude better than with JPEG (e.g. 1000x for ImageNet) without decreasing downstream classification accuracy :)

@netlify
Copy link

netlify bot commented Jul 7, 2021

✔️ Deploy Preview for pytorch-hub-preview ready!

🔨 Explore the source changes: 43168ba

🔍 Inspect the deploy log: https://app.netlify.com/sites/pytorch-hub-preview/deploys/60e5a088aa69960007e35c77

😎 Browse the preview: https://deploy-preview-213--pytorch-hub-preview.netlify.app

@YannDubs
Copy link
Author

YannDubs commented Jul 7, 2021

The circleci failure comes from another script (Running pytorch example in pytorch_fairseq_roberta.md), not this one.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants