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Exploiting the Potential of Standard Convolutional Autoencoders for
  Image Restoration by Evolutionary Search

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search

1 March 2018
Masanori Suganuma
Mete Ozay
Takayuki Okatani
ArXivPDFHTML

Papers citing "Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search"

15 / 15 papers shown
Title
GP-NAS-ensemble: a model for NAS Performance Prediction
GP-NAS-ensemble: a model for NAS Performance Prediction
Kunlong Chen
Liu Yang
Yitian Chen
Kunjin Chen
Yidan Xu
Lujun Li
27
13
0
23 Jan 2023
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Towards Regression-Free Neural Networks for Diverse Compute Platforms
Rahul Duggal
Hao Zhou
Shuo Yang
Jun Fang
Yuanjun Xiong
Wei Xia
UQCV
36
1
0
27 Sep 2022
Arch-Graph: Acyclic Architecture Relation Predictor for
  Task-Transferable Neural Architecture Search
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Minbin Huang
Zhijian Huang
Changlin Li
Xin Chen
Hangyang Xu
Zhenguo Li
Xiaodan Liang
36
18
0
12 Apr 2022
SplitNets: Designing Neural Architectures for Efficient Distributed
  Computing on Head-Mounted Systems
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
Xin Dong
B. D. Salvo
Meng Li
Chiao Liu
Zhongnan Qu
H. T. Kung
Ziyun Li
3DGS
29
20
0
10 Apr 2022
Multi-Scale Adaptive Network for Single Image Denoising
Multi-Scale Adaptive Network for Single Image Denoising
Yuanbiao Gou
Peng Hu
Jiancheng Lv
Qiufeng Wang
Xiaocui Peng
24
27
0
08 Mar 2022
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image
  Prior
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior
Metin Ersin Arican
Ozgur Kara
G. Bredell
E. Konukoglu
33
17
0
27 Nov 2021
Searching Efficient Model-guided Deep Network for Image Denoising
Searching Efficient Model-guided Deep Network for Image Denoising
Qiang Ning
W. Dong
Xin Li
Jinjian Wu
Leida Li
Guangming Shi
33
7
0
06 Apr 2021
Neuroevolution in Deep Neural Networks: Current Trends and Future
  Challenges
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges
E. Galván
P. Mooney
29
129
0
09 Jun 2020
Distributed Evolution of Deep Autoencoders
Distributed Evolution of Deep Autoencoders
Jeff Hajewski
Suely Oliveira
Xiaoyu Xing
16
5
0
16 Apr 2020
Neural Architecture Search for Deep Image Prior
Neural Architecture Search for Deep Image Prior
Kary Ho
Andrew Gilbert
Hailin Jin
John Collomosse
22
36
0
14 Jan 2020
Techniques for Automated Machine Learning
Techniques for Automated Machine Learning
Yi-Wei Chen
Qingquan Song
Xia Hu
18
48
0
21 Jul 2019
Blind Universal Bayesian Image Denoising with Gaussian Noise Level
  Learning
Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning
Majed El Helou
Sabine Süsstrunk
VLM
24
102
0
05 Jul 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural
  Architecture Search
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto
Shinichi Shirakawa
Nozomu Yoshinari
Kento Uchida
Shota Saito
K. Nishida
27
86
0
21 May 2019
A Genetic Programming Approach to Designing Convolutional Neural Network
  Architectures
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma
Shinichi Shirakawa
T. Nagao
22
587
0
03 Apr 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,330
0
05 Nov 2016
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