Reconciling Saliency and Object Center-Bias Hypotheses in Explaining Free-Viewing Fixations
Predicting where people look in natural scenes has attracted a lot of interest in computer vision and computational neuroscience over the past two decades. Two seemingly contrasting categories of cues have been proposed to influence where people look: 1) low-level image saliency and 2) high-level se...
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Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2016-06, Vol.27 (6), p.1214-1226 |
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