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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| Format: | Article |
| Language: | English |
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Universitätsbibliothek Chemnitz
2018
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| Online Access: | http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-232614 http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-232614 http://www.qucosa.de/fileadmin/data/qucosa/documents/23261/fnhum-11-00491.pdf http://www.qucosa.de/fileadmin/data/qucosa/documents/23261/signatur.txt.asc |