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Translation-invariant optical neural network for image classification
The classification performance of all-optical Convolutional Neural Networks (CNNs) is greatly influenced by components’ misalignment and translation of input images in the practical applications. In this paper, we propose a free-space all-optical CNN (named Trans-ONN) which accurately classifies tra...
Autores principales: | Sadeghzadeh, Hoda, Koohi, Somayyeh |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568607/ https://www.ncbi.nlm.nih.gov/pubmed/36241863 http://dx.doi.org/10.1038/s41598-022-22291-0 |
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