Shuzhen Li

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Salient object detection attracts much attention for its effectiveness in numerous applications. However, how to effectively produce a high quality binary mask from a saliency map, named saliency cuts, is still an open problem. In this paper, we propose a novel saliency cuts approach using unsupervised seeds generation and GrabCut algorithm. With the input(More)
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