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Deep saliency models learn low-, mid-, and high-level features to predict scene attention
Deep saliency models represent the current state-of-the-art for predicting where humans look in real-world scenes. However, for deep saliency models to inform cognitive theories of attention, we need to know how deep saliency models prioritize different scene features to predict where people look. H...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445969/ https://www.ncbi.nlm.nih.gov/pubmed/34531484 http://dx.doi.org/10.1038/s41598-021-97879-z |