Image Super-resolution by Residual Attention Network with Multi-skip Connection
Deep convolutional neural networks (Deep CNNs) are difficult to train as they become deeper.Moreover,in image super-resolution,channel-wise features and inputs of the low-resolution (LR) image are treated equally between different channels,resulting in the deficiency of the representational ability...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2021-11-01
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| Series: | Jisuanji kexue |
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| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-11-258.pdf |