Salient object detection based on global multi‐scale superpixel contrast
Author:
Affiliation:
1. Faculty of Information TechnologyBeijing University of TechnologyNo. 100 Pingleyuan, Chaoyang DistrictBeijing100124People's Republic of China
2. Department of Electrical Engineering & Computer ScienceUniversity of KansasLawrenceKS66045USA
Funder
National Natural Science Foundation of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Computer Vision and Pattern Recognition,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2016.0469
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4. Volokitin A. Gygli M. Boix X.: ‘Predicting when saliency maps are accurate and eye fixations consistent’.IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2016 pp.544–552
5. Perazzi F. Krahenbuhl P. Pritch Y. et al: ‘Saliency filters: contrast based filtering for salient region detection’.IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2012 pp.733–740
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