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Lightweight Multi-Scale Asymmetric Attention Network for Image Super-Resolution
Recently, with the development of convolutional neural networks, single-image super-resolution (SISR) has achieved better performance. However, the practical application of image super-resolution is limited by a large number of parameters and calculations. In this work, we present a lightweight mult...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778112/ https://www.ncbi.nlm.nih.gov/pubmed/35056219 http://dx.doi.org/10.3390/mi13010054 |