Second, apply transformers to model relationships between tokens. Third, visual tokens are directly used for image classification or projected back to the feature map for semantic segmentation. Note.

For example, some terrain classes might be easily separable from the rest, so very simple representation will be sufficient to learn and detect these classes. This is taken advantage of during ...

This work explores the use of spatial context as a source of free and plentiful supervisory signal for training a rich visual representation. Given only a large, unlabeled image collection, we extract ...