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Given any image input by users, how to automatically cutout the object-of-interest is a challenging problem due to lack of information of the object-of-interest and the background. Saliency detection techniques are able to provide some rough information about object-of-interest since they highlight high-contrast or high attention regions or pixels. However, the generated saliency map is often noisy and directly applying it for segmentation often leads to erroneous results. Motivated by thedoi:10.1109/iscas.2013.6571994 dblp:conf/iscas/ZhuCZWM13 fatcat:jzmrtdtgvfdb7oljk7gc5gwh7m