Deep saliency models learn low-, mid-, and high-level features to predict scene attention
Abstract 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 peopl...
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Autores principales: | Taylor R. Hayes, John M. Henderson |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/ce387fe2b53e4987b3f74cda0a3e4bf3 |
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