显著性检测算法代码

T	[1] R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk,“Frequency-tuned salient region detection,” in IEEE CVPR, 2009, pp. 1597–1604.
AIM	[2] N. Bruce and J. Tsotsos, “Saliency, attention, and visual search: An information theoretic approach,” Journal of Vision, vol. 9, no. 3, pp. 5:1–24, 2009.
MSS	[3] R. Achanta and S. S ¨ usstrunk, “Saliency detection using maximum symmetric surround,” in IEEE ICIP, 2010, pp. 2653–2656.
SEG	[4] E. Rahtu, J. Kannala, M. Salo, and J. Heikkila, “Segmenting salient objects from images and videos,” ECCV, pp. 366–379, 2010.
SeR	[5] H. Seo and P. Milanfar, “Static and space-time visual saliency detection by self-resemblance,” Journal of vision, vol. 9, no. 12, pp. 15:1–27, 2009.
SUN	[6] L. Zhang, M. Tong, T. Marks, H. Shan, and G. Cottrell, “SUN: A bayesian framework for saliency using natural statistics,” Journal of Vision, vol. 8, no. 7, pp. 32:1–20, 2008.
SWD	[7] L. Duan, C. Wu, J. Miao, L. Qing, and Y. Fu, “Visual saliency detection by spatially weighted dissimilarity,” in IEEE CVPR, 2011, pp. 473–480.
IM	[8] N. Murray, M. Vanrell, X. Otazu, and C. A. Parraga, “Saliency estimation using a non-parametric low-level vision model,” in IEEE CVPR, 2011, pp. 433–440.
IT	[9] L. Itti, C. Koch, and E. Niebur, “A model of saliency-based visual attention for rapid scene analysis,” IEEE TPAMI, vol. 20, no. 11, pp. 1254–1259, 1998.
GB	[10] J. Harel, C. Koch, and P. Perona, “Graph-based visual saliency,” in NIPS, 2007, pp. 545–552.
SR	[11] X. Hou and L. Zhang, “Saliency detection: A spectral residual approach,” in IEEE CVPR, 2007, pp. 1–8.
CA	[12] S. Goferman, L. Zelnik-Manor, and A. Tal, “Context-aware saliency detection,” in IEEE CVPR, 2010, pp. 2376–2383.
LC	[13] Y. Zhai and M. Shah, “Visual attention detection in video sequences using spatiotemporal cues,” in ACM Multimedia, 2006, pp. 815–824.
AC	[14] R. Achanta, F. Estrada, P. Wils, and S. S ¨ usstrunk, “Salient region detection and segmentation,” in IEEE ICVS, 2008, pp. 66–75.
CB	[15] H. Jiang, J. Wang, Z. Yuan, T. Liu, N. Zheng, and S. Li,“Automatic salient object segmentation based on context and shape prior,” in British Machine Vision Conference, 2011, pp. 1–12.
LP	[16] T. Judd, K. Ehinger, F. Durand, A Torralba, Learning to predict where humans look, ICCV 2009.

IT方法：http://www.saliencytoolbox.net/

AIM方法：http://www-sop.inria.fr/members/Neil.Bruce/

IM方法：http://www.cat.uab.cat/Research/Attention/

MSS方法：http://lcavwww.epfl.ch/~achanta/

SEG方法：http://www.cse.oulu.fi/CMV/Downloads/saliency

SeR方法：https://users.soe.ucsc.edu/~milanfar/research/computer-vision.html

SUN方法：http://cseweb.ucsd.edu/~l6zhang/

FT方法：http://ivrl.epfl.ch/supplementary_material/RK_CVPR09/index.html

AC方法：http://lcavwww.epfl.ch/~achanta/SalientRegionDetection/SalientRegionDetection.html

CA方法：http://webee.technion.ac.il/labs/cgm/Computer-Graphics-Multimedia/Software/Saliency/Saliency.html

LC、HC、RC方法：http://cg.cs.tsinghua.edu.cn/people/~cmm/saliency/

以上内容来源自南开大学程明明老师的博士论文，程老师主页上的相关代码：http://mmcheng.net/zh/salobj/

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