*1 This code is for the paper [1]: X. Zhou,Z. Liu, G. Sun, L. Ye and X. Wang, “Improving Saliency Detection Via Multiple Kernel Boosting and Adaptive Fusion,” IEEE Signal Processing Letters, vol. 23, no. 4, pp. 517-521, April 2016.
*2 We utilize some functions provided by [2-8], and the corresponding source codes have been compiled.
*3 We have tested this code under windows7(64bit). Run demo.m in MATLAB and you will see an example.
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[1] X. Zhou,Z. Liu, G. Sun, L. Ye and X. Wang, “Improving Saliency Detection Via Multiple Kernel Boosting and Adaptive Fusion,” IEEE Signal Processing Letters, vol. 23, no. 4, pp. 517-521, April 2016.
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[2] H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng and S. Li, “Salient object detection: A discriminative regional feature integration approach,” # in Proc. IEEE CVPR, Jun. 2013, pp. 2083-2090.
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[3] N. Tong, H. Lu, X. Ruan and M.-H. Yang, “Salient object detection via bootstrap learning,” in Proc. IEEE CVPR, Jun. 2015, pp. 1884-1892.
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[4] Y. Wei, F. Wen, W. Zhu, and J. Sun, “Geodesic saliency using background priors,” in Proc. ECCV, Sep. 2012, pp. 29-42.
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[5] Dollár P, Zitnick C. " Structured forests for fast edge detection. " in Proc. IEEE ICCV. 2013, pp. 1841-1848.
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[7] VlFeat open source library which can be downloaded at http://www.vlfeat.org/
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[8] Paul viola and Michael J. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", in Proc. IEEE CVPR 2001, pp.511-518