DropBlock: A Regularization Method for Convolutional Networks (Image Classification) | by Sik-Ho Tsang | Nov, 2020

In this story, DropBlock: A regularization method for convolutional networks (DropBlock), by Google Brain, is shortly presented. In this paper:

  • DropBlock, a form of structured dropout, is proposed where units in a contiguous region of a feature map are dropped together.
  • Applying DropBlock in skip connections in addition to the convolution layers increases the accuracy.

This is a paper in 2018 NeurIPS with over 200 citations. (Sik-Ho Tsang @ Medium)


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