Similar issue exists for all networks that involve translation, despite the task, so classifiers, though I don’t know whether it has been resolved. With classi

Similar issue exists for all networks that involve translation, despite the task, so classifiers, though I don’t know whether it has been resolved. With classifiers the issue is that if you place sufficient objects in space that co-occur the model will believe that it is a class with said objects, eg a face, but the problem is the relative positioning of them plus all angles of rotation. I think geometric deep learning has a solution for the rotation ia rotation invariant models, but I haven’t gone through that book yet.