Saliency Detection via Graph-Based Manifold Ranking

  title={Saliency Detection via Graph-Based Manifold Ranking},
  author={Chuan Yang and Lihe Zhang and Huchuan Lu and Xiang Ruan and Ming-Hsuan Yang},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition},
Most existing bottom-up methods measure the foreground saliency of a pixel or region based on its contrast within a local context or the entire image, whereas a few methods focus on segmenting out background regions and thereby salient objects. Instead of considering the contrast between the salient objects and their surrounding regions, we consider both foreground and background cues in a different way. We rank the similarity of the image elements (pixels or regions) with foreground cues or… CONTINUE READING
Highly Influential
This paper has highly influenced 239 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,333 citations. REVIEW CITATIONS

12 Figures & Tables



Citations per Year

1,334 Citations

Semantic Scholar estimates that this publication has 1,334 citations based on the available data.

See our FAQ for additional information.