Deep Saliency with Encoded Low Level Distance Map and High Level Features

@article{Lee2016DeepSW,
  title={Deep Saliency with Encoded Low Level Distance Map and High Level Features},
  author={Gayoung Lee and Yu-Wing Tai and Junmo Kim},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={660-668}
}
Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene. These advances have demonstrated superior results over previous works that utilize hand-crafted low level features for saliency detection. In this paper, we demonstrate that hand-crafted features can provide complementary information to enhance performance of saliency detection that utilizes only high level features. Our method utilizes both high level and low… CONTINUE READING
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