标签：
1. Some benchmark eye movement datasets over still images often used to evaluate visual attention models.
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2009 |
Kienzle 165 |
Center-Surround Patterns Emerge as Optimal Predictors for Human Saccade Targets
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2008 |
Einhauser 84 |
Objects Predict Fixations Better Than Early Saliency |
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2003 |
Ouerhani 210 |
Empirical Validation of Saliency-Based Model of Visual Attention
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2005 |
Bruce and Tsotsos 144 |
Saliency Based on Information Maximization www-sop.inria.fr/members/Neil.Bruce |
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1996 |
Stark and Choi 211 |
Experimental Metaphysics: The Scanpath as an Epistemological Mechanism |
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2010 |
Chikkerur 154 |
What and Where: A Bayesian Inference Theory of Visual Attention www.sharat.org |
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2003 |
Torralba 92 |
Modeling Global Scene Factors in Attention People.csail.mit.edu/torralba/GlobalFeaturesAndAttention |
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2009 |
Judd 166 |
Learning to Predict Where Humans Look People.csail.mit.edu/tjudd/WherePeopleLook/index.html |
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2007 |
Cerf 167 |
Predicting Human Gaze Using Low-Level Saliency Combined with Face Detection www.fifadb.com |
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2005 |
Peters 134 |
Components of Bottom-Up Gaze Allocation in Natural Images Ilab.usc.edu |
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1999 |
Reinagel and Zador 212 |
Natural Scenes at the Center of Gaze Zadorlab.cshl.edu |
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2008 |
Hwang and Pomplun 86 |
A Model of Top-Down Control of Attention during Visual Search in Real-World Scenes www.cs.umb.edu/~marc |
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2008 |
Kootstra 136 |
Paying Attention to Symmetry www.csc.kth.se/~kootstra |
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2007 |
Tatler 123 |
The Central Fixation Bias in Scene Viewing: Selecting an Optimal Viewing Position Independently of Motor Bases and Image Feature Distributions www.activevisionlab.org |
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2009 |
Engmann 182 |
Saliency on a Natural Scene Background: Effects of Color and Luminance Contrast Add Linearly
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2009 |
Engelke 213 |
Visual Attention Modeling: Region-of-Interest Versus Fixation Patterns |
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2006 |
Le Meur 41 |
A Coherent Computational Approach to Model Bottom-Up Visual Attention www.irisa.fr/temics/staff/lemeur |
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2009 |
Ehinger 87 |
Modeling Search for People in 900 Scenes: A Combined Source Model of Eye Guidance Cvcl.mit.edu/searchmodels/ |
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2008 |
Rajashekar 174 |
GAFFE: A Gaze-Attentive Fixation Finding Engine Live.ece.utexas.edu/research/doves/ |
2. Some benchmark eye movement datasets over video stimuli for evaluating visual attention prediction
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2005 |
CRCNS-ORIG 145 |
Bayesian Surprise Attracts Human Attention Crcns.org/data-sets/eye/eye-1 |
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2005 |
CRCNS-MTV 145 |
Bayesian Surprise Attracts Human Attention Crcns.org/data-sets/eye/eye-1 |
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2010 |
Jia li 133 |
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video www.jdl.ac.cn/user/jiali/ |
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2007 |
Peters and Itti 101 |
Beyond Bottom-up: Incorporating Taskdependent Influences into a Computational Model of Spatial Attention Ilab.usc.edu/rjpeters/ |
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2007 |
Shic and Scassellati 74 |
A Behavioral Analysis of Computational Models of Visual Attention Sites.google.com/site/fredshic/home |
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2007 |
Marat 49 |
Video Summarization Using a Visual Attention Model Star1g.ovh.net/~qgsmabaq/sophie/index.php |
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2007 |
Le Meur 138 |
Predicting Visual Fixations on Video Based on Low-Level Visual Features www.irisa.fr/temics/staff/lemeur |
some benchmark eye movement datasets ( from State-of-the-Art in Visual Attention Modeling)
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原文地址：http://www.cnblogs.com/OpenCV-HIT/p/4410507.html
