Lightweight image super-resolution with expectation-maximization attention mechanism
In recent years, with the rapid development of deep learning, super-resolution methods based on convolutional neural networks (CNNs) have made great progress. However, the parameters and the required consumption of computing resources of these methods are also increasing to the point that such metho...
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| Main Authors: | , , , , , |
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| Format: | Default Article |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/14518851.v1 |
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