Differentiable Patch Selection for Image Recognition

@article{Cordonnier2021DifferentiablePS,
  title={Differentiable Patch Selection for Image Recognition},
  author={Jean-Baptiste Cordonnier and Aravindh Mahendran and Alexey Dosovitskiy and Dirk Weissenborn and Jakob Uszkoreit and Thomas Unterthiner},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={2351-2360}
}
Neural Networks require large amounts of memory and compute to process high resolution images, even when only a small part of the image is actually informative for the task at hand. We propose a method based on a differentiable Top-K operator to select the most relevant parts of the input to efficiently process high resolution images. Our method may be interfaced with any downstream neural network, is able to aggregate information from different patches in a flexible way, and allows the whole… 

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