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06/28/2023
A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems
The recurrent neural network has been greatly developed for effectively ...
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09/26/2022
A heterogeneous group CNN for image super-resolution
Convolutional neural networks (CNNs) have obtained remarkable performanc...
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09/26/2022
Multi-stage image denoising with the wavelet transform
Deep convolutional neural networks (CNNs) are used for image denoising v...
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05/29/2022
Image Super-resolution with An Enhanced Group Convolutional Neural Network
CNNs with strong learning abilities are widely chosen to resolve super-r...
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04/28/2022
Generative Adversarial Networks for Image Super-Resolution: A Survey
Single image super-resolution (SISR) has played an important role in the...
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03/25/2021
Asymmetric CNN for image super-resolution
Deep convolutional neural networks (CNNs) have been widely applied for l...
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07/08/2020
Designing and Training of A Dual CNN for Image Denoising
Deep convolutional neural networks (CNNs) for image denoising have recen...
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12/31/2019
Deep Learning on Image Denoising: An overview
Deep learning techniques have obtained much attention in image denoising...
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10/28/2018
Enhanced CNN for image denoising
Due to the flexible architectures of deep convolutional neural networks ...
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10/11/2018
