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Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Saliency detection is a long standing problem in computer vision. Tremendous efforts have been focused on exploring a universal saliency model across users despite their differences in gender, race, age, etc. Yet recent psychology studies suggest that saliency is highly specific than universal: individuals exhibit heterogeneous gaze patterns when viewing an identical scene containing multiple salient objects. In this paper, we first show that such heterogeneity is common and critical for
doi:10.24963/ijcai.2017/543
dblp:conf/ijcai/XuLWYG17
fatcat:6aw6om2k4rc2pczilbnycqvtly