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Segment propagation transfers object priors among images, which is an important prior generation manner in image segmentation. The existing propagation methods focus on object foreground propagation, while the detailed part propagation is deficiency, which is caused by the challenges that not only the multiple part regions, but also their relationships need to be transferred. In this paper, a part...
Despite recent advances in joint processing of images, sometimes it may not be as effective as single image processing for object discovery problems. In this paper while aiming for common object detection, we attempt to address this problem by proposing a novel QCCE: Quality Constrained Co-saliency Estimation method. The approach here is to iteratively update the saliency maps through co-saliency...
Most of the existing co-segmentation methods are usually complex, and require pre-grouping of images, fine-tuning a few parameters and initial segmentation masks etc. These limitations become serious concerns for their application on large scale datasets. In this paper, Group Saliency Propagation (GSP) model is proposed where a single group saliency map is developed, which can be propagated to segment...
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