DropBlock: A regularization method for convolutional networks

Golnaz Ghiasi
Golnaz Ghiasi

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018.

Cited by: 295|Views119
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Abstract:

Deep neural networks often work well when they are over-parameterized and trained with a massive amount of noise and regularization, such as weight decay and dropout. Although dropout is widely used as a regularization technique for fully connected layers, it is often less effective for convolutional layers. This lack of success of dropou...More

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