Attention models

[Our Models] [Online available saliency models]

Our Models

Here you can find the codes of our computational attention models. They are provided as is with no warranty and can be used freely only for research purposes and only if you cite the papers bellow.

  1. RARE 2012 ATTENTION MODEL. [More details].
    If you use this code, please cite this paper :
    N. RICHE, M. MANCAS, M. DUVINAGE, M. MIBULUMUKINI, B. GOSSELIN, T. DUTOIT, 2013, "RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis", Signal Processing: Image Communication, issn:0923-5965,, doi:10.1016/j.image.2013.03.009.
  2. RARE 2007 ATTENTION MODEL. [More details].
    If you use this code, please cite this paper :
    M. MANCAS, 2009, "Relative Influence of Bottom-Up and Top-Down Attention", Attention in Cognitive Systems, Lecture Notes in Computer Science, Springer Berlin / Heidelberg, ISSN 0302-9743 (Print) 1611-3349 (Online), Volume 5395/2009, DOI 10.1007/978-3-642-00582-4, ISBN 978-3-642-00581-7, February 2009.
  3. Global rarity algorithm. [More details].
    If you use this code, please cite this paper :
    M. MANCAS, C. MANCAS-THILLOU, B. GOSSELIN, B. MACQ, 2006, "A rarity-based visual attention map -application to texture description -", Proc. of IEEE International conference on Image Processing (ICIP 2006), Atlanta, USA.
  4. Local contrast algorithm [More details].
    This code is part of the model presented in this paper :
    M. MANCAS, L. COUVREUR, B. GOSSELIN, B. MACQ, 2007, "Computational Attention for Event Detection", Proceedings of ICVS Workshop on Computational Attention & Applications (WCAA-2007) , Bielefeld, Germany, Mar 2007.

Online available saliency models

Here, you can find a recent state of the art of online available saliency models.

Matlab Toolbox

Human eye fixations prediction

  1. AIM : Neil D. B. Bruce and John K. Tsotsos (2005).
  2. STB : Dirk Walther and Christof Koch (2006).
  3. GBVS : J. Harel, C. Koch, and P. Perona (2006).
  4. Saliency Detection: A Spectral Residual Approach : Xiaodi Hou and Liqing Zhang (2007).
  5. SUN : Lingyun Zhang, Matthew H. Tong, Tim K. Marks, Honghao Shan and Garrison W. Cottrell (2008).
  6. Dynamic Visual Attention : Xiaodi Hou and Liqing Zhang (2008).
  7. WherePeopleLook : Tilke Judd, Krista Ehinger, Frédo Durand and Antonio Torralba (2009).
  8. Self-Resemblance Saliency : Hae Jong Seo and Peyman Milanfar (2009).
  9. AWS : A. Garcia-Diaz, X. R. Fdez-Vidal, X. M. Pardo, and R. Dosil (2009).
  10. Visual Saliency Based on Lossy Coding : Yin Li, Yue Zhou, Junchi Yan, Zhibin Liu, Lei Xu, Xiaochao Yang and Jie Yang (2009).
  11. Fast and Efficient Saliency : Rezazadegan Tavakoli H, Rahtu E and Heikkilä J (2011).
  12. Saliency Estimation : Naila Murray, Maria Vanrell, Xavier Otazu and C. Alejandro Parraga (2011).
  13. Quaternion DCT : B. Schauerte and R. Stiefelhagen (2012) .
  14. Top-down Visual Attention : Ali Borji, Dicky N. Sihite, and Laurent Itti (2012) .
  15. SignatureSal : Xiaodi Hou, Jonathan Harel and Christof Koch(2012) .
  16. CovSal : Erkut Erdem and Aykut Erdem (2013) .

Salient objects detection

  1. Detection and Segmentation Saliency : R. Achanta, F. Estrada, P. Wils and S. Süsstrunk (2008).
  2. Frequency-tuned Saliency : R. Achanta, S. Hemami, F. Estrada and S. Süsstrunk (2009).
  3. Segmenting-based Saliency : Rahtu E, Kannala J, Salo M and Heikkilä J (2010).
  4. Context Aware Saliency : Stas Goferman, Lihi Zelnik-Manor and Ayellet Tal (2010).
  5. Saliency-based Image Retargeting : Yuming Fang, Zhenzhong Chen, Weisi Lin, Chia-Wen Lin (2011).
  6. Visual Saliency Detection Based on Bayesian Model : Yulin Xie, Huchuan Lu (2011).
  7. Co-saliency Model : Hongliang Li and King Ngi Ngan (2011).
  8. Frequency and Spatial Saliency : Jian Li, Martin D. Levine, Xiangjing An and Hangen He (2011).
  9. Fusing Generic Objectness and Visual Saliency for Salient Object Detection : Kai-Yueh Chang Tyng-Luh Liu Hwann-Tzong Chen Shang-Hong Lai (2011).
  10. Saliency Detection Based on Integration of Boundary and Soft-Segmentation : Jing Sun, Huchuan Lu, Shifeng Li (2012).
  11. Saliency on HVS and Amplitude Spectrum : Yuming Fang, Weisi Lin, Bu-Sung Lee, Chiew Tong Lau, Zhenzhong Chen, Chia-Wen Lin (2012).
  12. Random Center Surround Saliency : T. N. Vikram, M. Tscherepanow and B. Wrede (2012) .
  13. Saliency For Image Manipulation : R. Margolin, L. Zelnik-Manor, and A. Tal (2012) .
  14. Wavelet-based Saliency Detection : Nevrez İmamoğlu, Weisi Lin, Yuming Fang (2013).
  15. Locally Debiased Region Contrast Saliency : B. Schauerte and R. Stiefelhagen (2013).
  16. Saliency Detection Method by Combining Simple Priors : Lin Zhang, Zhongyi Gu and Hongyu Li (2013).
  17. Looking Beyond the Image : P. Siva, C. Russell, T. Xiang, and L. Agapito (2013).
  18. Saliency Detection via Graph-based Manifold Ranking : Chuan Yang, Lihe Zhang, Huchuan Lu, Minghsuan Yang (2013).
  19. Bayesian Saliency via Low and Mid Level Cues : Yulin Xie, Huchuan Lu, Minghsuan Yang (2013).

C/C++ Implementation

Human eye fixations prediction

  1. iNVT : Laurent Itti and al. (2001).
  2. NMPT : Nicholas Butko and al. (2008).

Salient objects detection

  1. Salience Distance Transform : P.L. Rosin and G.A.W. West (1995).
  2. ADAS : Gert Kootstra and Niklas Bergstrom (2010).
  3. Global Contrast Saliency : Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang and Shi-Min Hu (2011).
  4. Hierarchical Saliency Detection : Qiong Yan, Li Xu, Jianping Shi, Jiaya Jia (2013).
  5. Salient Region Detection with Soft Image Abstraction : Ming-Ming Cheng, Jonathan Warrell, Wen-Yan Lin, Shuai Zheng, Vibhav Vineet, Nigel Crook(2013).