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Central Moment Discrepancy (CMD) for Domain-Invariant Representation
  Learning

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning

28 February 2017
Werner Zellinger
Thomas Grubinger
E. Lughofer
T. Natschläger
Susanne Saminger-Platz
    OOD
ArXivPDFHTML

Papers citing "Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning"

50 / 110 papers shown
Title
Multiple Classifiers Based Maximum Classifier Discrepancy for
  Unsupervised Domain Adaptation
Multiple Classifiers Based Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Yiju Yang
Taejoon Kim
Guanghui Wang
52
2
0
02 Aug 2021
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges,
  Techniques and Datasets
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
Muhammed Muzammul
Xi Li
ObjD
21
11
0
16 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature
  Restoration
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
Cian Eastwood
I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
TTA
30
51
0
12 Jul 2021
Learning Invariant Representation with Consistency and Diversity for
  Semi-supervised Source Hypothesis Transfer
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
19
6
0
07 Jul 2021
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
Unsupervised Multi-Source Domain Adaptation for Person Re-Identification
Zechen Bai
Zhigang Wang
Jian Wang
Diangang Hu
Errui Ding
105
78
0
27 Apr 2021
Post-Hoc Domain Adaptation via Guided Data Homogenization
Post-Hoc Domain Adaptation via Guided Data Homogenization
Kurt Willis
Luis Oala
21
4
0
08 Apr 2021
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object
  Detectors
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
Chaoqi Chen
Zebiao Zheng
Yue Huang
Xinghao Ding
Yizhou Yu
OOD
ObjD
35
59
0
25 Mar 2021
ConDA: Continual Unsupervised Domain Adaptation
ConDA: Continual Unsupervised Domain Adaptation
A. M. N. Taufique
C. S. Jahan
Andreas E. Savakis
TTA
CLL
22
10
0
19 Mar 2021
In the light of feature distributions: moment matching for Neural Style
  Transfer
In the light of feature distributions: moment matching for Neural Style Transfer
Nikolai Kalischek
Jan Dirk Wegner
Konrad Schindler
OOD
30
48
0
12 Mar 2021
Cycle Self-Training for Domain Adaptation
Cycle Self-Training for Domain Adaptation
Hong Liu
Jianmin Wang
Mingsheng Long
40
174
0
05 Mar 2021
Learning Invariant Representations across Domains and Tasks
Learning Invariant Representations across Domains and Tasks
Jindong Wang
Wenjie Feng
Chang-Shu Liu
Chaohui Yu
Min Du
Renjun Xu
Tao Qin
Tie-Yan Liu
OOD
28
3
0
03 Mar 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
151
150
0
17 Feb 2021
Deep Visual Domain Adaptation
Deep Visual Domain Adaptation
G. Csurka
OOD
144
185
0
28 Dec 2020
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature
  Redundancy
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy
Mengzhu Wang
Xiang Zhang
L. Lan
Wei Wang
Huibin Tan
Zhigang Luo
AI4CE
39
1
0
28 Dec 2020
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial
  Datasets
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets
R. Gong
Dengxin Dai
Yuhua Chen
Wen Li
Luc Van Gool
24
22
0
15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
Teacher-Student Competition for Unsupervised Domain Adaptation
Teacher-Student Competition for Unsupervised Domain Adaptation
Ruixin Xiao
Zhilei Liu
Baoyuan Wu
23
3
0
19 Oct 2020
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Weikai Li
Songcan Chen
38
25
0
01 Sep 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Bo-wen Li
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
S. Seshia
Kurt Keutzer
44
264
0
01 Sep 2020
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Learning Target Domain Specific Classifier for Partial Domain Adaptation
Chuan-Xian Ren
Pengfei Ge
Peiyi Yang
Shuicheng Yan
115
43
0
25 Aug 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
29
22
0
18 Aug 2020
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
Xingchao Peng
Yichen Li
Kate Saenko
22
32
0
17 Jul 2020
Domain Adaptation without Source Data
Domain Adaptation without Source Data
Youngeun Kim
Donghyeon Cho
Kyeongtak Han
Priyadarshini Panda
Sungeun Hong
TTA
11
174
0
03 Jul 2020
Feature Alignment and Restoration for Domain Generalization and
  Adaptation
Feature Alignment and Restoration for Domain Generalization and Adaptation
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
OOD
40
39
0
22 Jun 2020
Disentanglement for Discriminative Visual Recognition
Disentanglement for Discriminative Visual Recognition
Xiaofeng Liu
DRL
27
6
0
14 Jun 2020
MISA: Modality-Invariant and -Specific Representations for Multimodal
  Sentiment Analysis
MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis
Devamanyu Hazarika
Roger Zimmermann
Soujanya Poria
21
676
0
07 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena
Jiannong Cao
AAML
AI4CE
26
287
0
30 Apr 2020
FDA: Fourier Domain Adaptation for Semantic Segmentation
FDA: Fourier Domain Adaptation for Semantic Segmentation
Yanchao Yang
Stefano Soatto
OOD
36
884
0
11 Apr 2020
Inter-Region Affinity Distillation for Road Marking Segmentation
Inter-Region Affinity Distillation for Road Marking Segmentation
Yuenan Hou
Zheng Ma
Chunxiao Liu
Tak-Wai Hui
Chen Change Loy
36
121
0
11 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
50
1,210
0
20 Feb 2020
On generalization in moment-based domain adaptation
On generalization in moment-based domain adaptation
Werner Zellinger
Bernhard A. Moser
Susanne Saminger-Platz
14
9
0
19 Feb 2020
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised
  Domain Adaptation
Enlarging Discriminative Power by Adding an Extra Class in Unsupervised Domain Adaptation
H. Tran
Sumyeong Ahn
Taeyoung Lee
Yung Yi
21
2
0
19 Feb 2020
Multi-Source Domain Adaptation for Text Classification via
  DistanceNet-Bandits
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits
Han Guo
Ramakanth Pasunuru
Joey Tianyi Zhou
30
114
0
13 Jan 2020
Dual Adversarial Domain Adaptation
Dual Adversarial Domain Adaptation
Yuntao Du
Z. Tan
Qian Chen
Xiaowen Zhang
Yirong Yao
Chong-Jun Wang
9
10
0
01 Jan 2020
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
Chao Chen
Zhihang Fu
Zhihong Chen
Sheng Jin
Zhaowei Cheng
Xinyu Jin
Xiansheng Hua
22
196
0
27 Dec 2019
Correlation-aware Adversarial Domain Adaptation and Generalization
Correlation-aware Adversarial Domain Adaptation and Generalization
Mohammad Mahfujur Rahman
Clinton Fookes
Mahsa Baktash
Sridha Sridharan
OOD
17
144
0
29 Nov 2019
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
61
4,350
0
07 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with
  Explicit Domain-Constrained Disentanglement
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement
Weihao Xia
Yujiu Yang
Jing-Hao Xue
29
15
0
02 Nov 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Shuhan Tan
Xingchao Peng
Kate Saenko
OOD
27
11
0
23 Oct 2019
Transfer Learning with Dynamic Adversarial Adaptation Network
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu
Jindong Wang
Yiqiang Chen
Meiyu Huang
TTA
OOD
24
296
0
18 Sep 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation
  Networks
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
Ziliang Chen
Jingyu Zhuang
Xiaodan Liang
Liang Lin
OOD
33
83
0
08 Jul 2019
Tackling Partial Domain Adaptation with Self-Supervision
Tackling Partial Domain Adaptation with Self-Supervision
S. Bucci
A. DÍnnocente
Tatiana Tommasi
19
20
0
12 Jun 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Safa Cicek
Stefano Soatto
OOD
42
118
0
26 May 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 Agnostic Learning with Disentangled Representations
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng
Zijun Huang
Ximeng Sun
Kate Saenko
OOD
DRL
18
258
0
28 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
42
538
0
10 Mar 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian
  Process Approach
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim
Pritish Sahu
Behnam Gholami
Vladimir Pavlovic
OOD
14
45
0
23 Feb 2019
A review of domain adaptation without target labels
A review of domain adaptation without target labels
Wouter M. Kouw
Marco Loog
OOD
VLM
15
478
0
16 Jan 2019
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain
  Adaptation
TWINs: Two Weighted Inconsistency-reduced Networks for Partial Domain Adaptation
Toshihiko Matsuura
Kuniaki Saito
Tatsuya Harada
24
13
0
18 Dec 2018
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
1,754
0
04 Dec 2018
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