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Learning a Dilated Residual Network for SAR Image Despeckling

Learning a Dilated Residual Network for SAR Image Despeckling

9 September 2017
Qiang Zhang
Qiangqiang Yuan
Jie Li
Zhen Yang
Xiaoshuang Ma
ArXivPDFHTML

Papers citing "Learning a Dilated Residual Network for SAR Image Despeckling"

16 / 16 papers shown
Title
Embedding Structured Contour and Location Prior in Siamesed Fully
  Convolutional Networks for Road Detection
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
Qi. Wang
Junyu Gao
Yuan. Yuan
52
245
0
05 May 2019
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
173
5,908
0
10 Jul 2017
SAR Image Despeckling Using a Convolutional Neural Network
SAR Image Despeckling Using a Convolutional Neural Network
Puyang Wang
He Zhang
Vishal M. Patel
39
319
0
02 Jun 2017
SAR image despeckling through convolutional neural networks
SAR image despeckling through convolutional neural networks
Giovanni Chierchia
D. Cozzolino
Giovanni Poggi
L. Verdoliva
41
244
0
02 Apr 2017
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene
  Classification
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia
Jingwen Hu
Fan Hu
Baoguang Shi
X. Bai
Yanfei Zhong
Liangpei Zhang
80
1,723
0
18 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
142
6,995
0
13 Aug 2016
A Neural Approach to Blind Motion Deblurring
A Neural Approach to Blind Motion Deblurring
Ayan Chakrabarti
41
432
0
15 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,253
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,446
0
23 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,188
0
14 Nov 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
70
796
0
26 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
150
8,077
0
31 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
274
14,711
0
20 Jun 2014
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