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Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation

8 March 2020
Dongliang Chang
Aneeshan Sain
Zhanyu Ma
Yi-Zhe Song
Jun Guo
ArXivPDFHTML

Papers citing "Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation"

24 / 24 papers shown
Title
Attract or Distract: Exploit the Margin of Open Set
Attract or Distract: Exploit the Margin of Open Set
Qianyu Feng
Guoliang Kang
Hehe Fan
Yezhou Yang
17
56
0
06 Aug 2019
Weakly Supervised Open-set Domain Adaptation by Dual-domain
  Collaboration
Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
Shuhan Tan
Jiening Jiao
Weishi Zheng
TTA
26
22
0
30 Apr 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation
Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen
Weiping Xie
Wenbing Huang
Yu Rong
Xinghao Ding
Yue Huang
Tingyang Xu
Junzhou Huang
31
409
0
21 Nov 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
31
502
0
27 Apr 2018
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with
  Category Shift
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
Ruijia Xu
Ziliang Chen
W. Zuo
Junjie Yan
Liang Lin
OOD
41
385
0
02 Mar 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
57
1,781
0
07 Dec 2017
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
31
528
0
01 Dec 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
98
2,985
0
08 Nov 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
81
1,427
0
09 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
78
2,023
0
22 Jun 2017
Deep Mutual Learning
Deep Mutual Learning
Ying Zhang
Tao Xiang
Timothy M. Hospedales
Huchuan Lu
FedML
100
1,645
0
01 Jun 2017
Cooperative Learning with Visual Attributes
Cooperative Learning with Visual Attributes
Tanmay Batra
Devi Parikh
46
29
0
16 May 2017
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GAN
OOD
75
649
0
06 Apr 2017
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
293
1,275
0
06 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
158
4,638
0
17 Feb 2017
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
59
1,484
0
14 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
76
1,412
0
19 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
42
1,367
0
08 Oct 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
106
19,448
0
09 Mar 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
163
5,163
0
10 Feb 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
181
5,972
0
26 Sep 2014
Frustratingly Easy Domain Adaptation
Frustratingly Easy Domain Adaptation
Hal Daumé
71
1,795
0
10 Jul 2009
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
131
2,348
0
15 May 2008
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