Deeply Supervised Salient Object Detection with Short Connections

@article{Hou2016DeeplySS,
  title={Deeply Supervised Salient Object Detection with Short Connections},
  author={Qibin Hou and Ming-Ming Cheng and Xiaowei Hu and Ali Borji and Zhuowen Tu and Philip H. S. Torr},
  journal={2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={5300-5309}
}
Recent progress on saliency detection is substantial, benefiting mostly from the explosive development of Convolutional Neural Networks (CNNs). Semantic segmentation and saliency detection algorithms developed lately have been mostly based on Fully Convolutional Neural Networks (FCNs). There is still a large room for improvement over the generic FCN models that do not explicitly deal with the scale-space problem. Holisitcally-Nested Edge Detector (HED) provides a skip-layer structure with deep… 

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