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What is Cutout / Random Erasing?

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Answer

  • During training, mask a random rectangular region of the input image with zeros (Cutout) or random noise (Random Erasing).
  • Forces the network to look at the whole image rather than one salient region — improves robustness to occlusion.
  • Simple, cheap, effective.
  • Standard in vision recipes since 2017; combines well with Mixup / CutMix.
Check yourself — multiple choice
  • Removes the label
  • Mask a random rectangular region with 0 or noise — forces robust global features and helps occlusion
  • Same as Mixup
  • Only used for text

Cutout / Random Erasing: mask a random rectangle → occlusion robustness.

#augmentation#regularization

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