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Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks
Whenever a visual scene is cast onto the retina, much of it will appear degraded due to poor resolution in the periphery; moreover, optical defocus can cause blur in central vision. However, the pervasiveness of blurry or degraded input is typically overlooked in the training of convolutional neural...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10418076/ https://www.ncbi.nlm.nih.gov/pubmed/37577646 http://dx.doi.org/10.1101/2023.07.29.551089 |