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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031719
Abstract: Single image super resolution (SISR) based on deep learning has made great progress in recent years. As the method continues to improve, different network structures have been proposed to better perform SR feature extraction for…
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Keywords:
progressive residual;
super resolution;
attention;
residual attention ... See more keywords
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Published in 2019 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2019.2917258
Abstract: The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly increased noise and artifacts, which might lower the…
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Keywords:
progressive residual;
domain progressive;
residual convolution;
low dose ... See more keywords
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Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.1084543
Abstract: Introduction The seriously degraded fogging image affects the further visual tasks. How to obtain a fog-free image is not only challenging, but also important in computer vision. Recently, the vision transformer (ViT) architecture has achieved…
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Keywords:
residual network;
based progressive;
progressive residual;
transformer based ... See more keywords