Iterative deep neural networks based on proximal gradient descent for image restoration.
The algorithm unfolding networks with explainability of algorithms and higher efficiency of Deep Neural Networks (DNN) have received considerable attention in solving ill-posed inverse problems. Under the algorithm unfolding network framework, we propose a novel end-to-end iterative deep neural netw...
Main Authors: | Ting Lv, Zhenkuan Pan, Weibo Wei, Guangyu Yang, Jintao Song, Xuqing Wang, Lu Sun, Qian Li, Xiatao Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0276373 |
Similar Items
-
Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent
by: Xin Yi, et al.
Published: (2024-01-01) -
Improved Gradient Descent Iterations for Solving Systems of Nonlinear Equations
by: Predrag S. Stanimirović, et al.
Published: (2023-01-01) -
Complexity control by gradient descent in deep networks
by: Poggio, Tomaso A, et al.
Published: (2022) -
Complexity control by gradient descent in deep networks
by: Poggio, Tomaso, et al.
Published: (2021) -
Training Neural Networks by Time-Fractional Gradient Descent
by: Jingyi Xie, et al.
Published: (2022-09-01)