Search Results for author:
Found 1 papers, 1 papers with code
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
Discriminative self-supervised learning allows training models on any random group of internet images, and possibly recover salient information that helps differentiate between the images.
Ranked #1 on
Copy Detection
on Copydays strong subset
(using extra training data)
Cannot find the paper you are looking for? You can
Submit a new open access paper.
