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VisDA: The Visual Domain Adaptation Challenge

VisDA: The Visual Domain Adaptation Challenge

18 October 2017
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
    OOD
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Papers citing "VisDA: The Visual Domain Adaptation Challenge"

16 / 166 papers shown
Title
Multi-source Domain Adaptation for Semantic Segmentation
Multi-source Domain Adaptation for Semantic Segmentation
Sicheng Zhao
Bo-wen Li
Xiangyu Yue
Yang Gu
Pengfei Xu
Runbo Hu
Hua Chai
Kurt Keutzer
30
159
0
27 Oct 2019
Cycle-consistent Conditional Adversarial Transfer Networks
Cycle-consistent Conditional Adversarial Transfer Networks
Jingjing Li
Erpeng Chen
Zhengming Ding
Lei Zhu
Ke Lu
Zi Huang
21
71
0
17 Sep 2019
Joint Semantic Domain Alignment and Target Classifier Learning for
  Unsupervised Domain Adaptation
Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation
Dongdong Chen
Yisen Wang
Jinfeng Yi
Zaiyi Chen
Zhi-Hua Zhou
27
4
0
10 Jun 2019
Learning Smooth Representation for Unsupervised Domain Adaptation
Learning Smooth Representation for Unsupervised Domain Adaptation
Guanyu Cai
Lianghua He
Mengchu Zhou
H. Alhumade
D. Hu
27
16
0
26 May 2019
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
Jin Chen
Xinxiao Wu
Lixin Duan
Shenghua Gao
OOD
33
43
0
10 May 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Yingwei Pan
Ting Yao
Yehao Li
Yu Wang
Chong-Wah Ngo
Tao Mei
38
338
0
25 Apr 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
27
537
0
10 Mar 2019
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
14
825
0
04 Jan 2019
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
74
1,748
0
04 Dec 2018
Unsupervised Domain Adaptation using Generative Models and
  Self-ensembling
Unsupervised Domain Adaptation using Generative Models and Self-ensembling
Eman T. Hassan
Xin Chen
David J. Crandall
OOD
20
7
0
02 Dec 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
19
499
0
27 Apr 2018
Adversarial Dropout Regularization
Adversarial Dropout Regularization
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
GAN
16
284
0
05 Nov 2017
Transfer Learning with Label Noise
Transfer Learning with Label Noise
Xiyu Yu
Tongliang Liu
Mingming Gong
Kun Zhang
Kayhan Batmanghelich
Dacheng Tao
NoLa
16
32
0
31 Jul 2017
Self-ensembling for visual domain adaptation
Self-ensembling for visual domain adaptation
Geoffrey French
Michal Mackiewicz
M. Fisher
11
44
0
16 Jun 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
261
1,275
0
06 Mar 2017
A Testbed for Cross-Dataset Analysis
A Testbed for Cross-Dataset Analysis
Tatiana Tommasi
Tinne Tuytelaars
Barbara Caputo
168
96
0
24 Feb 2014
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