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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...
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| Pubblicato in: | Learn Mem |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cold Spring Harbor Laboratory Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7670863/ https://ncbi.nlm.nih.gov/pubmed/33199475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/lm.051649.120 |
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