DropBlock: A regularization method for convolutional networks

Deep neural networks often work well when they are over-parameterized and trained withamassiveamount ofnoiseandregularization, suchasweight decay and dropout. Although dropout is widely used as a regularization technique for fully connected layers, it is often less effective for convolutional layers.