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Information-theoretic model comparison unifies saliency metrics
Learning the properties of an image associated with human gaze placement is important both for understanding how biological systems explore the environment and for computer vision applications. There is a large literature on quantitative eye movement models that seeks to predict fixations from image...
Tallennettuna:
| Julkaisussa: | Proc Natl Acad Sci U S A |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
National Academy of Sciences
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4702965/ https://ncbi.nlm.nih.gov/pubmed/26655340 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1510393112 |
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