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How Well Can Saliency Models Predict Fixation Selection in Scenes Beyond Central Bias? A New Approach to Model Evaluation Using Generalized Linear Mixed Models

Since the turn of the millennium, a large number of computational models of visual salience have been put forward. How best to evaluate a given model's ability to predict where human observers fixate in images of real-world scenes remains an open research question. Assessing the role of spatial...

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Pubblicato in:Front Hum Neurosci
Autori principali: Nuthmann, Antje, Einhäuser, Wolfgang, Schütz, Immo
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2017
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5671469/
https://ncbi.nlm.nih.gov/pubmed/29163092
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2017.00491
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