Nov 1, 2019 · The paper utilizes a newly designed fully convolutional neural network named Accurate Image Super-resolution Using Dense Connections and Dimension Reduction ...
The paper utilizes a newly designed fully convolutional neural network named Accurate Image Super-resolution Using Dense Connections and Dimension Reduction ...
The proposed DCDRN invents a simple and effective method which processes the original image directly and the optimization of layers and filters of CNNs ...
Oct 22, 2024 · The paper utilizes a newly designed fully convolutional neural network named Accurate Image Super-resolution Using Dense Connections and ...
Abstract: Recently, the convolution neural network (CNN) has achieved significant performance improvements toward the image Super-Resolution (SR) problems.
The paper utilizes a newly designed fully convolutional neural network named Accurate Image Super-resolution Using Dense Connections and Dimension Reduction ...
Accurate image super-resolution using dense connections and dimension reduction network. https://doi.org/10.1007/s11042-019-08241-5 ·.
In this study, we present a novel single-image super-resolution method by introducing dense skip connections in a very deep network. In the proposed network, ...
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In this paper, a new model based on dilated convolutional neural network is proposed to improve the image resolution.
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Jun 1, 2019 · The cascading dense connection in the CDN enables short and long paths to be built directly from the output to each layer, alleviating the ...
Missing: dimension | Show results with:dimension
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