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1706.05208
Cited By
Self-ensembling for visual domain adaptation
16 June 2017
Geoffrey French
Michal Mackiewicz
M. Fisher
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Papers citing
"Self-ensembling for visual domain adaptation"
26 / 26 papers shown
Title
Say No to Freeloader: Protecting Intellectual Property of Your Deep Model
Lianyu Wang
Hao Wu
Huazhu Fu
Daoqiang Zhang
42
2
0
23 Aug 2024
S4DL: Shift-sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Jie Feng
Tianshu Zhang
Junpeng Zhang
Ronghua Shang
Weisheng Dong
G. Shi
Licheng Jiao
29
2
0
11 Aug 2024
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
VLM
TTA
42
4
0
05 May 2024
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
Lianyu Wang
Meng Wang
Daoqiang Zhang
Huazhu Fu
26
18
0
20 Mar 2023
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
Wenyu Zhang
Li Shen
Chuan-Sheng Foo
TTA
AI4CE
34
15
0
15 Dec 2022
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
34
101
0
15 Jan 2022
Transferrable Contrastive Learning for Visual Domain Adaptation
Yang Chen
Yingwei Pan
Yu Wang
Ting Yao
Xinmei Tian
Tao Mei
19
23
0
14 Dec 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
Lixu Wang
Shichao Xu
Ruiqi Xu
Tianlin Li
Qi Zhu
AAML
19
45
0
13 Jun 2021
Online Domain Adaptation for Continuous Cross-Subject Liver Viability Evaluation Based on Irregular Thermal Data
Sahand Hajifar
Hongyue Sun
18
7
0
24 Nov 2020
Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection
Sanli Tang
Zhanzhan Cheng
Shiliang Pu
Dashan Guo
Yi Niu
Fei Wu
8
2
0
06 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
42
458
0
30 Jun 2020
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation
Yingwei Pan
Ting Yao
Yehao Li
Chong-Wah Ngo
Tao Mei
33
72
0
11 Jun 2020
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck
Yuxuan Song
Lantao Yu
Zhangjie Cao
Zhiming Zhou
Jian Shen
Shuo Shao
Weinan Zhang
Yong Yu
31
17
0
21 Nov 2019
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
OOD
SSL
21
236
0
26 Sep 2019
Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation
Shuyang Dai
Yu Cheng
Yizhe Zhang
Zhe Gan
Jingjing Liu
Lawrence Carin
13
27
0
11 Sep 2019
Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning
Zhanghan Ke
Daoye Wang
Qiong Yan
Jimmy S. J. Ren
Rynson W. H. Lau
11
212
0
03 Sep 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai
Yingwei Pan
Chong-Wah Ngo
Xinmei Tian
Ling-yu Duan
Ting Yao
ViT
OOD
30
306
0
25 Apr 2019
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
Contrastive Adaptation Network for Unsupervised Domain Adaptation
Guoliang Kang
Lu Jiang
Yi Yang
Alexander G. Hauptmann
14
826
0
04 Jan 2019
Adversarial Domain Randomization
Rawal Khirodkar
Kris M. Kitani
11
5
0
03 Dec 2018
Co-regularized Alignment for Unsupervised Domain Adaptation
Abhishek Kumar
P. Sattigeri
Kahini Wadhawan
Leonid Karlinsky
Rogerio Feris
William T. Freeman
G. Wornell
OOD
14
157
0
13 Nov 2018
Deep semi-supervised segmentation with weight-averaged consistency targets
C. Perone
Julien Cohen-Adad
OOD
14
72
0
12 Jul 2018
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Xingchao Peng
Ben Usman
Kuniaki Saito
Neela Kaushik
Judy Hoffman
Kate Saenko
18
75
0
26 Jun 2018
A DIRT-T Approach to Unsupervised Domain Adaptation
Rui Shu
Hung Bui
Hirokazu Narui
Stefano Ermon
27
610
0
23 Feb 2018
VisDA: The Visual Domain Adaptation Challenge
Xingchao Peng
Ben Usman
Neela Kaushik
Judy Hoffman
Dequan Wang
Kate Saenko
OOD
28
786
0
18 Oct 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
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