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Most of the existing methods achieve co-saliency detection at single level. In this work, we combine the object-level and region-level processing to detect co-salient objects in a group of images. At the object level, we formulate proposal selection as an outlier detection problem. We find good region proposals and generate a template for each image. At the region level, we introduce the smoothness...
Co-saliency detection aims at finding the common salient objects in multiple images. In this paper, we introduce a new co-saliency detection model, which includes two main parts: co-salient seed selection using the inter-object recurrence cues from multiple images and saliency label propagation using partially absorbing random walk. With the guidance of co-salient seeds, salient objects are individually...
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