Computer vision models have known performance disparities across attribu...
This paper revisits the standard pretrain-then-finetune paradigm used in...
Recipe personalization through ingredient substitution has the potential...
Self-supervised methods in vision have been mostly focused on large
arch...
This paper demonstrates an approach for learning highly semantic image
r...
A successful paradigm in representation learning is to perform
self-supe...
Discriminative self-supervised learning allows training models on any ra...