Recognizing jumbled images: The role of local and global information in image classification

  title={Recognizing jumbled images: The role of local and global information in image classification},
  author={Devi Parikh},
  journal={2011 International Conference on Computer Vision},
The performance of current state-of-the-art computer vision algorithms at image classification falls significantly short as compared to human abilities. To reduce this gap, it is important for the community to know what problems to solve, and not just how to solve them. Towards this goal, via the use of jumbled images, we strip apart two widely investigated aspects: local and global information in images, and identify the performance bottleneck. Interestingly, humans have been shown to reliably… CONTINUE READING
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