Cutout¶

• @devriesImprovedRegularizationConvolutional2017
• removes constant size square patches randomly by replacing them with any constant value.
• The selection of region is performed by selecting a pixel value randomly and placing a square around it
• Cutout can be expressed as an element-wise multiplication operation \(x_{cutout} = x \odot M\), where \(x\) is the original image, \(M\) is a binary mask of the same size as \(x\) with randomly chosen coordinates of a square patch of pixels to be cut out, and \(\odot\) denotes element-wise multiplication.