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Image memorability is predicted by discriminability and similarity in different stages of a convolutional neural network
The features of an image can be represented at multiple levels—from its low-level visual properties to high-level meaning. What drives some images to be memorable while others are forgettable? We address this question across two behavioral experiments. In the first, different layers of a convolution...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory Press
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7670863/ https://www.ncbi.nlm.nih.gov/pubmed/33199475 http://dx.doi.org/10.1101/lm.051649.120 |