Classification of jumbled images
This 2019 paper states that all the current image classification models are actually doing the same thing, i.e. classifying jumbled image patches. The reason is that they are weak at peaking up long-range dependencies (relations between pixels far away). As a result, breaking these dependencies by shuffling the image patches does not affect them substantially. Here is a post that explains the findings and the BagNet method that suits your need.