Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
about
Visual Saliency Prediction and Evaluation across Different Perceptual Tasks.What Would Jaws Do? The Tyranny of Film and the Relationship between Gaze and Higher-Level Narrative Film Comprehension.Information-theoretic model comparison unifies saliency metrics.Visual Attention and Applications in Multimedia Technologies.Online advertisement: how are visual strategies affected by the distance and the animation of banners?Scanpath modeling and classification with hidden Markov models.An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy making.Flipping the stimulus: Effects on scanpath coherence?Computational assessment of visual search strategies in volumetric medical images.How Well Can Saliency Models Predict Fixation Selection in Scenes Beyond Central Bias? A New Approach to Model Evaluation Using Generalized Linear Mixed Models.Comparative study of computational visual attention models on two-dimensional medical images.Scanpath Trend Analysis on Web Pages
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P2860
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年學術文章
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name
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@en
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@nl
type
label
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@en
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@nl
prefLabel
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@en
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@nl
P2860
P1476
Methods for comparing scanpaths and saliency maps: strengths and weaknesses.
@en
P2093
Olivier Le Meur
Thierry Baccino
P2860
P2888
P304
P356
10.3758/S13428-012-0226-9
P577
2013-03-01T00:00:00Z
P5875
P6179
1047466880