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Noise increases the correspondence between artificial and human vision
The best performing computer vision systems are based on deep neural networks (DNNs). A study in this issue of PLOS Biology shows that DNNs trained on noisy stimuli are better than standard DNNs at mirroring both human behavioral and neural visual responses.
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664186/ https://www.ncbi.nlm.nih.gov/pubmed/34890404 http://dx.doi.org/10.1371/journal.pbio.3001477 |