  Web page saliency prediction is a challenge problem in image transformation
and computer vision. In this paper, we propose a new model combined with web
page outline information to prediction people's interest region in web page.
For each web page image, our model can generate the saliency map which
indicates the region of interest for people. A two-stage generative adversarial
networks are proposed and image outline information is introduced for better
transferring. Experiment results on FIWI dataset show that our model have
better performance in terms of saliency prediction.
