take long-range dependencies into account because if you for example recognize that this is a house and you recognize that here's a wall right here um you might be able to much better classify what is wall over here and what isn't okay so the kind of long-range dependencies play a role in these problems across images and usually attention mechanisms are pretty good for these long-range dependencies but they're also expensive and that's what this paper deals with so they use this axial attention that has been