Pixel-Level Contrastive Learning. Train AI image models to understand images without labeled data by learning from pixel patterns.

github.com/lucidrains/pixel-level-contrastive-learning

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Vaya's read on this project

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Updates

February 2021

Release —0.1.1 Feb 2
make compatible with pytorch lightning Feb 2
Release —0.1.0 Feb 2
make sure training works with multi-gpus Feb 2

December 2020

more sure now that it is right Dec 19
Release —0.0.11 Dec 19
fix projected coordinates dimensions Dec 19
Release —0.0.10 Dec 18
use bilinear interpolation for coordinates cutout and resize Dec 18
Release —0.0.9 Dec 17
automatically fall back to instance level loss if no positive pixel p… Dec 17
Release —0.0.8 Dec 17
add BYOL instance-level learning Dec 17
Release —0.0.6 Dec 14
attempt to fix positive pixel pair distance calculation Dec 14
Release —0.0.5 Dec 11
add random horizontal flip Dec 11
Release —0.0.4 Dec 11
bump fix Dec 11
Merge pull request #3 from cjrd/patch-1 Dec 11
Release —0.0.3 Dec 10
fix augmentations Dec 10
Add the two loss functions instead of multiplying them Dec 10

November 2020

update readme Nov 25
update readme Nov 25
update readme Nov 25
first release Nov 25
prepare everything except for calculation of losses Nov 24
add SimCLR-like projection head Nov 24
finish pixel propagation module (PPM) Nov 24