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We respectively calculated the prediction discrepancy (i.e., l_dis in the Eq. (3) in the paper), the image classification score (i.e. ,{y^}^cls in the Eq. (5) in the paper) and the re-weighted prediction discrepancy (i.e., {l~}_dis in Eq. (7) in the paper) of the two classifiers on each anchor, and fill the anchors corresponding to these values with the color of the heatmap. The larger the value, the more red. The smaller the value, the more blue-violet. Finally, we add the heat map of multiple anchors to the original image in a certain proportion to get Fig. 6 in the paper.
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