Robust Salient Object Detection via Fusing Foreground and Background Priors

@article{Huang2018RobustSO,
  title={Robust Salient Object Detection via Fusing Foreground and Background Priors},
  author={Kan Huang and Chunbiao Zhu and Ge Li},
  journal={2018 25th IEEE International Conference on Image Processing (ICIP)},
  year={2018},
  pages={2341-2345}
}
  • Kan HuangChunbiao ZhuGe Li
  • Published 1 November 2017
  • Computer Science
  • 2018 25th IEEE International Conference on Image Processing (ICIP)
Automatic salient object detection without any supervised labor tends to greatly enhance many computer vision tasks. This paper proposes a novel bottom-up salient object detection framework which considers both foreground and background priors in detecting process. First, a series of foreground seeds are extracted from an image based on surroundedness cue. Then, a foreground-corresponding saliency map is generated via ranking algorithm according to these seeds. In a similar way a series of… 

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