Supervised adversarial networks for image saliency detection

@inproceedings{Pan2020SupervisedAN,
  title={Supervised adversarial networks for image saliency detection},
  author={Hengyue Pan and Hui Jiang},
  booktitle={International Conference on Graphic and Image Processing},
  year={2020}
}
  • H. Pan, Hui Jiang
  • Published in
    International Conference on…
    24 April 2017
  • Computer Science
In the past few years, Generative Adversarial Network (GAN) became a prevalent research topic. [] Key Method However, different from GAN, the proposed method uses fully supervised learning to learn both G-Network and D-Network by applying class labels of the training set. Moreover, a novel kind of layer call conv-comparison layer is introduced into the D-Network to further improve the saliency performance. Experimental results on Pascal VOC 2012 database show that the SAN model can generate high quality…

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  • Computer Science
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