Reparameterizable Multibranch Bottleneck Network for Lightweight Image Super-Resolution
Deployment of deep convolutional neural networks (CNNs) in single image super-resolution (SISR) for edge computing devices is mainly hampered by the huge computational cost. In this work, we propose a lightweight image super-resolution (SR) network based on a reparameterizable multibranch bottleneck...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/8/3963 |