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In this paper, we address the problem of fusing various saliency detection methods such that the fusion result outperforms each of the individual methods. We observe that the saliency regions shown in different saliency maps are with high probability covering parts of the salient object. With image regions being represented by the saliency values of multiple saliency maps, the object regions have...
Extracting objects from natural images has long been an active problem in image processing. Despite various attempts, it has not been completely solved up to date. Current state-of-the-art object proposal methods tend to extract a set of object segments from an image, and often these are consequential differences among these results for each image. Another type of methods strive to detect one object...
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