training techniqueIntroduced by Swin V2 · 2021
Residual post-norm & cosine attention
Stabilise very large vision Transformers and transfer them across resolutions.
Drafted by AI · not yet reviewed
How this idea evolved
Suggested from citations. No curator has recorded what this idea builds on yet. These ideas from the same theme come from papers that Swin V2 cites, directly or one step removed. Citation is a fact; the connection between the ideas is not verified.
Attention inside local windows that shift between layers, with multi-scale feature maps.
Split an image into patches and feed them to a plain Transformer as tokens.
Stack convolution stages before attention stages to get both inductive bias and capacity.
Papers using this
No other paper in this dataset is tagged with it yet.