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Single Image Super-Resolution Based on Global Dense Feature Fusion Convolutional Network
Deep neural networks (DNNs) have been widely adopted in single image super-resolution (SISR) recently with great success. As a network goes deeper, intermediate features become hierarchical. However, most SISR methods based on DNNs do not make full use of the hierarchical features. The features cann...
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Principais autores: | , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
MDPI AG
2019-01-01
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coleção: | Sensors |
Assuntos: | |
Acesso em linha: | http://www.mdpi.com/1424-8220/19/2/316 |
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