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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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| Published in: | Front Hum Neurosci |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2017
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| Subjects: | |
| Online Access: | 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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