Computer vision models have known performance disparities across attribu...
This paper revisits the standard pretrain-then-finetune paradigm used in...
We explore the extent to which zero-shot vision-language models exhibit
...
Recent research suggests that predictions made by machine-learning model...
Model pre-training is a cornerstone of modern visual recognition systems...
We introduce PyTorchVideo, an open-source deep-learning library that pro...
Physical reasoning requires forward prediction: the ability to forecast ...
In this paper we present a methodology of classifying hepatic (liver) le...