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Unsupervised Domain Adaptation with Multiple Domain Discriminators and
  Adaptive Self-Training

Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training

27 April 2020
Teo Spadotto
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
ArXivPDFHTML

Papers citing "Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training"

48 / 48 papers shown
Title
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks
Haoyang Li
Junjie Chen
Yuecong Xu
Kemi Ding
3DPC
65
0
0
02 Apr 2025
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
221
30,089
0
01 Mar 2022
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on
  Cycle Consistency and Feature Alignment
Unsupervised Domain Adaptation for Mobile Semantic Segmentation based on Cycle Consistency and Feature Alignment
Marco Toldo
Umberto Michieli
Gianluca Agresti
Pietro Zanuttigh
52
50
0
14 Jan 2020
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen
Yen-Yu Lin
Ming-Hsuan Yang
Jia-Bin Huang
100
276
0
09 Jan 2020
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised
  Domain Adaptation
Domain Bridge for Unpaired Image-to-Image Translation and Unsupervised Domain Adaptation
Fabio Pizzati
Raoul de Charette
Michela Zaccaria
Pietro Cerri
48
75
0
23 Oct 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain
  Adaptation
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
Seung-Min Lee
Dongwan Kim
Namil Kim
Seong-Gyun Jeong
TTA
OOD
30
181
0
12 Oct 2019
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Minghao Chen
Hongyang Xue
Deng Cai
80
288
0
30 Sep 2019
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation
  in Semantic Segmentation
Adversarial Learning and Self-Teaching Techniques for Domain Adaptation in Semantic Segmentation
Umberto Michieli
Matteo Biasetton
Gianluca Agresti
Pietro Zanuttigh
GAN
37
58
0
02 Sep 2019
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation
  in Semantic Segmentation
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation
Jaehoon Choi
Taekyung Kim
Changick Kim
67
243
0
02 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
340
795
0
26 Aug 2019
Constructing Self-motivated Pyramid Curriculums for Cross-Domain
  Semantic Segmentation: A Non-Adversarial Approach
Constructing Self-motivated Pyramid Curriculums for Cross-Domain Semantic Segmentation: A Non-Adversarial Approach
Qing Lian
Fengmao Lv
Lixin Duan
Boqing Gong
SSeg
62
226
0
26 Aug 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Safa Cicek
Stefano Soatto
OOD
87
118
0
26 May 2019
Semi-supervised Domain Adaptation via Minimax Entropy
Semi-supervised Domain Adaptation via Minimax Entropy
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Trevor Darrell
Kate Saenko
68
620
0
13 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation
ACE: Adapting to Changing Environments for Semantic Segmentation
Zuxuan Wu
Xin Wang
Joseph E. Gonzalez
Tom Goldstein
L. Davis
OOD
53
101
0
12 Apr 2019
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
Zhijie Deng
Yucen Luo
Jun Zhu
OOD
63
217
0
24 Mar 2019
Normalized Wasserstein Distance for Mixture Distributions with
  Applications in Adversarial Learning and Domain Adaptation
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation
Yogesh Balaji
Rama Chellappa
Soheil Feizi
43
49
0
01 Feb 2019
Domain Adaptation for Structured Output via Discriminative Patch
  Representations
Domain Adaptation for Structured Output via Discriminative Patch Representations
Yi-Hsuan Tsai
Kihyuk Sohn
S. Schulter
Manmohan Chandraker
OOD
79
320
0
16 Jan 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
123
1,291
0
30 Nov 2018
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real
  Image Domain Adaptation
Domain Stylization: A Strong, Simple Baseline for Synthetic to Real Image Domain Adaptation
Aysegül Dündar
Ming-Yuan Liu
Ting-Chun Wang
John Zedlewski
Jan Kautz
OOD
51
74
0
24 Jul 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
135
1,543
0
28 Feb 2018
Adversarial Learning for Semi-Supervised Semantic Segmentation
Adversarial Learning for Semi-Supervised Semantic Segmentation
Wei-Chih Hung
Yi-Hsuan Tsai
Yan-Ting Liou
Yen-Yu Lin
Ming-Hsuan Yang
GAN
SSeg
104
552
0
22 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
287
13,079
0
07 Feb 2018
Image to Image Translation for Domain Adaptation
Image to Image Translation for Domain Adaptation
Zak Murez
Soheil Kolouri
D. Kriegman
R. Ramamoorthi
Kyungnam Kim
OOD
57
528
0
01 Dec 2017
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban
  Scenes
ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
Yuhua Chen
Wen Li
Luc Van Gool
71
294
0
30 Nov 2017
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
134
3,000
0
08 Nov 2017
Adversarial Dropout Regularization
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
69
284
0
05 Nov 2017
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
Yang Zhang
P. David
Boqing Gong
SSeg
78
321
0
29 Jul 2017
Adversarial Dropout for Supervised and Semi-supervised Learning
Adversarial Dropout for Supervised and Semi-supervised Learning
Sungrae Park
Jun-Keon Park
Su-Jin Shin
Il-Chul Moon
GAN
58
174
0
12 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
189
8,455
0
17 Jun 2017
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
119
1,617
0
28 May 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
257
4,653
0
17 Feb 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
91
1,800
0
22 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
146
1,535
0
16 Dec 2016
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
82
788
0
08 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
517
11,984
0
04 Dec 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
120
2,006
0
07 Aug 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
91
3,144
0
06 Jul 2016
Coupled Generative Adversarial Networks
Coupled Generative Adversarial Networks
Ming-Yuan Liu
Oncel Tuzel
OOD
GAN
84
1,625
0
24 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
213
18,195
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
505
37,806
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
887
11,587
0
06 Apr 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
84
1,488
0
14 Feb 2016
Return of Frustratingly Easy Domain Adaptation
Return of Frustratingly Easy Domain Adaptation
Baochen Sun
Jiashi Feng
Kate Saenko
OOD
79
1,838
0
17 Nov 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,467
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
213
5,189
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
165
2,598
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
231
6,012
0
26 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
365
43,524
0
01 May 2014
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