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Recently, saliency detection has become an active research topic in learning from labeled image, where various supervised methods were designed. Many existing methods usually cast saliency detection as a binary classification or regression problem, in which saliency detection performance relies heavily on the expensive pixel-wise annotations of salient objects. This paper addresses the issue by developing...
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