Image Data Augmentation

R-Mix (Random Mix-up) is a Mix-up family Data Augmentation method. It combines random Mix-up with Saliency-guided mix-up, producing a procedure that is fast and performant, while reserving good characteristics of Saliency-guided Mix-up such as low Expected Calibration Error and high Weakly-supervised Object Localization accuracy.

Source: Expeditious Saliency-guided Mix-up through Random Gradient Thresholding


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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign