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As if by magic: self-supervised training of deep despeckling networks
  with MERLIN

As if by magic: self-supervised training of deep despeckling networks with MERLIN

25 October 2021
Emanuele Dalsasso
L. Denis
F. Tupin
ArXivPDFHTML

Papers citing "As if by magic: self-supervised training of deep despeckling networks with MERLIN"

15 / 15 papers shown
Title
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An
  Overview Of Trends And Perspectives
Deep Learning Methods For Synthetic Aperture Radar Image Despeckling: An Overview Of Trends And Perspectives
Giulia Fracastoro
E. Magli
Giovanni Poggi
Giuseppe Scarpa
D. Valsesia
L. Verdoliva
23
64
0
10 Dec 2020
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated
  Convolutional Kernel Architecture
Noise2Kernel: Adaptive Self-Supervised Blind Denoising using a Dilated Convolutional Kernel Architecture
Kanggeun Lee
Won-Ki Jeong
42
18
0
07 Dec 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Yaochen Xie
Zhengyang Wang
Shuiwang Ji
92
111
0
22 Oct 2020
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot
  Convolutional Neural Networks
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Andrea Bordone Molini
D. Valsesia
Giulia Fracastoro
E. Magli
16
89
0
04 Jul 2020
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model
  to an end-to-end training strategy
SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy
Emanuele Dalsasso
Xiangli Yang
L. Denis
F. Tupin
Wen Yang
21
55
0
28 Jun 2020
Deep Learning Meets SAR
Deep Learning Meets SAR
Xiaoxiang Zhu
S. Montazeri
Mohsin Ali
Yuansheng Hua
Yuanyuan Wang
Lichao Mou
Yilei Shi
Feng Xu
R. Bamler
41
221
0
17 Jun 2020
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional
  Neural Networks
Towards Deep Unsupervised SAR Despeckling with Blind-Spot Convolutional Neural Networks
Andrea Bordone Molini
D. Valsesia
Giulia Fracastoro
E. Magli
19
21
0
15 Jan 2020
Why gradient clipping accelerates training: A theoretical justification
  for adaptivity
Why gradient clipping accelerates training: A theoretical justification for adaptivity
J.N. Zhang
Tianxing He
S. Sra
Ali Jadbabaie
49
454
0
28 May 2019
High-Quality Self-Supervised Deep Image Denoising
High-Quality Self-Supervised Deep Image Denoising
S. Laine
Tero Karras
J. Lehtinen
Timo Aila
23
336
0
29 Jan 2019
Noise2Noise: Learning Image Restoration without Clean Data
Noise2Noise: Learning Image Restoration without Clean Data
J. Lehtinen
Jacob Munkberg
J. Hasselgren
S. Laine
Tero Karras
M. Aittala
Timo Aila
62
1,591
0
12 Mar 2018
Learning a Dilated Residual Network for SAR Image Despeckling
Learning a Dilated Residual Network for SAR Image Despeckling
Qiang Zhang
Qiangqiang Yuan
Jie Li
Zhen Yang
Xiaoshuang Ma
26
196
0
09 Sep 2017
SAR Image Despeckling Using a Convolutional Neural Network
SAR Image Despeckling Using a Convolutional Neural Network
Puyang Wang
He Zhang
Vishal M. Patel
25
318
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
26
242
0
02 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
865
76,547
0
18 May 2015
Speckle Reduction in Polarimetric SAR Imagery with Stochastic Distances
  and Nonlocal Means
Speckle Reduction in Polarimetric SAR Imagery with Stochastic Distances and Nonlocal Means
L. Torres
S. Sant’anna
C. Freitas
A. Frery
33
137
0
16 Apr 2013
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