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)