A scalable attention network for lightweight image super-resolution
Modeling long-range dependencies among features has become a consensus to improve the results of single image super-resolution (SISR), which stimulates interest in enlarging the kernel sizes in convolutional neural networks (CNNs). Although larger kernels definitely improve the network performance,...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer
2024-10-01
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| シリーズ: | Journal of King Saud University: Computer and Information Sciences |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S131915782400274X |
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