Vision Transformers are Transformer-like models applied to visual tasks. They stem from the work of ViT which directly applied a Transformer architecture on non-overlapping medium-sized image patches for image classification. Below you can find a continually updating list of vision transformers.

According to [1], ViT type models can be further categorized into uniform scale ViTs, multi-scale ViT, hybrid ViTs with convolutions, and self-supervised ViTs. The methods listed below provide a comprehensive overview of ViT models applied to a range of vision tasks.

[1] Transformers in Vision: A Survey