Learning and Incorporating Top-Down Cues in Image Segmentation

  title={Learning and Incorporating Top-Down Cues in Image Segmentation},
  author={Xuming He and Richard S. Zemel and Debajyoti Ray},
Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, recent methods have begun to incorporate top-down cues, or object information, into segmentation. In this paper, we propose an approach to utilizing category-based information in segmentation, through a formulation as an image labelling problem. Our approach exploits bottom-up image cues to create an over-segmented representation… CONTINUE READING
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