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.
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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.
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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.
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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.
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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
