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Deep Hashing Network for Unsupervised Domain Adaptation

Deep Hashing Network for Unsupervised Domain Adaptation

22 June 2017
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
    OOD
ArXiv (abs)PDFHTML

Papers citing "Deep Hashing Network for Unsupervised Domain Adaptation"

50 / 1,215 papers shown
Towards Stable and Comprehensive Domain Alignment: Max-Margin
  Domain-Adversarial Training
Towards Stable and Comprehensive Domain Alignment: Max-Margin Domain-Adversarial Training
Jianfei Yang
Han Zou
Yuxun Zhou
Lihua Xie
OOD
96
6
0
30 Mar 2020
Gradually Vanishing Bridge for Adversarial Domain Adaptation
Gradually Vanishing Bridge for Adversarial Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2020
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Chi Su
Qingming Huang
Q. Tian
340
280
0
30 Mar 2020
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization
  under Label Insufficient Situations
Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient SituationsComputer Vision and Pattern Recognition (CVPR), 2020
Shuhao Cui
Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Q. Tian
189
415
0
27 Mar 2020
Domain Adaptation by Class Centroid Matching and Local Manifold
  Self-Learning
Domain Adaptation by Class Centroid Matching and Local Manifold Self-LearningIEEE Transactions on Image Processing (TIP), 2020
Lei Tian
Yongqiang Tang
Liangchen Hu
Zhida Ren
Wensheng Zhang
357
69
0
20 Mar 2020
Domain-Adaptive Few-Shot Learning
Domain-Adaptive Few-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
An Zhao
Mingyu Ding
Zhiwu Lu
Tao Xiang
Yulei Niu
Jiechao Guan
Ji-Rong Wen
Ping Luo
142
85
0
19 Mar 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep ClusteringComputer Vision and Pattern Recognition (CVPR), 2020
Hui Tang
Ke Chen
Kui Jia
CMLOOD
206
316
0
19 Mar 2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few
  Source Labels
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
Donghyun Kim
Kuniaki Saito
Tae-Hyun Oh
Bryan A. Plummer
Stan Sclaroff
Kate Saenko
SSL
125
50
0
18 Mar 2020
Domain Adaptive Ensemble Learning
Domain Adaptive Ensemble LearningIEEE Transactions on Image Processing (TIP), 2020
Kaiyang Zhou
Yongxin Yang
Yu Qiao
Tao Xiang
OOD
432
344
0
16 Mar 2020
Class Conditional Alignment for Partial Domain Adaptation
Class Conditional Alignment for Partial Domain AdaptationInternational Conference on Pattern Recognition (ICPR), 2020
Mohsen Kheirandishfard
Fariba Zohrizadeh
F. Kamangar
115
1
0
14 Mar 2020
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain GeneralisationAAAI Conference on Artificial Intelligence (AAAI), 2020
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
499
469
0
12 Mar 2020
Fisher Deep Domain Adaptation
Fisher Deep Domain AdaptationSDM (SDM), 2020
Yinghua Zhang
Yu Zhang
Ying Wei
Kun Bai
Yangqiu Song
Qiang Yang
AI4CE
128
10
0
12 Mar 2020
Domain Adaptation with Conditional Distribution Matching and Generalized
  Label Shift
Domain Adaptation with Conditional Distribution Matching and Generalized Label ShiftNeural Information Processing Systems (NeurIPS), 2020
Rémi Tachet des Combes
Han Zhao
Yu Wang
Geoffrey J. Gordon
OODAAMLVLM
311
209
0
10 Mar 2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature
  Replay
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay
Qicheng Lao
Xiang Jiang
Mohammad Havaei
Yoshua Bengio
VLM
133
33
0
09 Mar 2020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
Dongliang Chang
Aneeshan Sain
Zhanyu Ma
Yi-Zhe Song
Jun Guo
179
6
0
08 Mar 2020
Probability Weighted Compact Feature for Domain Adaptive Retrieval
Probability Weighted Compact Feature for Domain Adaptive RetrievalComputer Vision and Pattern Recognition (CVPR), 2020
Fuxiang Huang
Lei Zhang
Yang Yang
Xichuan Zhou
237
47
0
06 Mar 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation
A Balanced and Uncertainty-aware Approach for Partial Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2020
Jian Liang
Yunbo Wang
Dapeng Hu
Ran He
Jiashi Feng
371
118
0
05 Mar 2020
Towards Fair Cross-Domain Adaptation via Generative Learning
Towards Fair Cross-Domain Adaptation via Generative LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Tongxin Wang
Zhengming Ding
Wei Shao
Haixu Tang
Kun Huang
TTA
220
10
0
04 Mar 2020
A Survey on Deep Hashing Methods
A Survey on Deep Hashing MethodsACM Transactions on Knowledge Discovery from Data (TKDD), 2020
Xiao Luo
Haixin Wang
Huasong Zhong
C. L. Philip Chen
Minghua Deng
Jianqiang Huang
Xiansheng Hua
333
227
0
04 Mar 2020
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic
  Survey
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey
Sicheng Zhao
Yue Liu
Colorado Reed
Pengfei Xu
Kurt Keutzer
208
118
0
26 Feb 2020
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and
  Practice
Unsupervised Multi-Class Domain Adaptation: Theory, Algorithms, and PracticeIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Yabin Zhang
Bin Deng
Hui Tang
Lei Zhang
Kui Jia
AI4CE
176
83
0
20 Feb 2020
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and
  Alignment
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and AlignmentAAAI Conference on Artificial Intelligence (AAAI), 2020
You-Wei Luo
Chuan-Xian Ren
Pengfei Ge
Ke-Kun Huang
Yu-Feng Yu
147
31
0
20 Feb 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 AdaptationInternational Conference on Machine Learning (ICML), 2020
Jian Liang
Dapeng Hu
Jiashi Feng
541
1,518
0
20 Feb 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain
  Adaptation
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain AdaptationInternational Journal of Computer Vision (IJCV), 2020
Sicheng Zhao
Yue Liu
Xiangyu Yue
Pengfei Xu
Kurt Keutzer
OOD
215
73
0
19 Feb 2020
Universal Domain Adaptation through Self Supervision
Universal Domain Adaptation through Self SupervisionNeural Information Processing Systems (NeurIPS), 2020
Kuniaki Saito
Donghyun Kim
Stan Sclaroff
Kate Saenko
OODTTA
352
370
0
19 Feb 2020
Bi-Directional Generation for Unsupervised Domain Adaptation
Bi-Directional Generation for Unsupervised Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2020
Guanglei Yang
Haifeng Xia
M. Ding
Zhengming Ding
171
84
0
12 Feb 2020
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural
  Network
Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network
Pengxin Guo
Chang Deng
Linjie Xu
Xiaonan Huang
Yu Zhang
125
8
0
12 Feb 2020
A Simple General Approach to Balance Task Difficulty in Multi-Task
  Learning
A Simple General Approach to Balance Task Difficulty in Multi-Task Learning
Sicong Liang
Yu Zhang
172
16
0
12 Feb 2020
Collaborative Training of Balanced Random Forests for Open Set Domain
  Adaptation
Collaborative Training of Balanced Random Forests for Open Set Domain Adaptation
Jongbin Ryu
Jiun Bae
Jongwoo Lim
113
3
0
10 Feb 2020
Impact of ImageNet Model Selection on Domain Adaptation
Impact of ImageNet Model Selection on Domain Adaptation
Youshan Zhang
Brian D. Davison
FAttOODVLM
240
38
0
06 Feb 2020
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
275
21
0
06 Feb 2020
Entropy Minimization vs. Diversity Maximization for Domain Adaptation
Entropy Minimization vs. Diversity Maximization for Domain Adaptation
Xiaofu Wu
Suofei Zhang
Quan Zhou
Zhen Yang
Chunming Zhao
Longin Jan Latecki
174
16
0
05 Feb 2020
Revisiting Meta-Learning as Supervised Learning
Revisiting Meta-Learning as Supervised Learning
Wei-Lun Chao
Han-Jia Ye
De-Chuan Zhan
M. Campbell
Kilian Q. Weinberger
OODFedML
163
24
0
03 Feb 2020
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
Multi-Modal Domain Adaptation for Fine-Grained Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Jonathan Munro
Dima Damen
EgoV
269
229
0
27 Jan 2020
A Sample Selection Approach for Universal Domain Adaptation
A Sample Selection Approach for Universal Domain Adaptation
Omri Lifshitz
Lior Wolf
108
12
0
14 Jan 2020
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and
  Benchmark
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and BenchmarkIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
S. Cruz
Oliver Wasenmüller
H. Beise
Thomas Stifter
D. Stricker
236
48
0
10 Jan 2020
Adversarial-Learned Loss for Domain Adaptation
Adversarial-Learned Loss for Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2020
Minghao Chen
Shuai Zhao
Haifeng Liu
Deng Cai
149
189
0
04 Jan 2020
Low-Budget Label Query through Domain Alignment Enforcement
Low-Budget Label Query through Domain Alignment EnforcementComputer Vision and Image Understanding (CVIU), 2020
Jurandy Almeida
Cristiano Saltori
Paolo Rota
Andrii Zadaianchuk
153
5
0
01 Jan 2020
HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation
HoMM: Higher-order Moment Matching for Unsupervised Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2019
Chao Chen
Zhihang Fu
Zhihong Chen
Sheng Jin
Zhaowei Cheng
Xinyu Jin
Xiansheng Hua
216
238
0
27 Dec 2019
Importance Filtered Cross-Domain Adaptation
Importance Filtered Cross-Domain Adaptation
Wei Wang
Haojie Li
Zhihui Wang
Jing Sun
Zhengming Ding
Fuming Sun
188
2
0
24 Dec 2019
Research Frontiers in Transfer Learning -- a systematic and bibliometric
  review
Research Frontiers in Transfer Learning -- a systematic and bibliometric review
Frederico Guth
Teofilo de Campos
131
0
0
18 Dec 2019
Minimum Class Confusion for Versatile Domain Adaptation
Minimum Class Confusion for Versatile Domain Adaptation
Ying Jin
Ximei Wang
Mingsheng Long
Jianmin Wang
178
7
0
08 Dec 2019
Correlation-aware Adversarial Domain Adaptation and Generalization
Correlation-aware Adversarial Domain Adaptation and GeneralizationPattern Recognition (Pattern Recognit.), 2019
Mohammad Mahfujur Rahman
Clinton Fookes
Mahsa Baktash
Sridha Sridharan
OOD
270
157
0
29 Nov 2019
Discriminative Adversarial Domain Adaptation
Discriminative Adversarial Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2019
Hui Tang
Kui Jia
OOD
222
218
0
27 Nov 2019
Deep Image-to-Video Adaptation and Fusion Networks for Action
  Recognition
Deep Image-to-Video Adaptation and Fusion Networks for Action RecognitionIEEE Transactions on Image Processing (TIP), 2019
Yang Liu
Zhaoyang Lu
Jing Li
Tao Yang
Chao Yao
184
61
0
25 Nov 2019
Improving Unsupervised Domain Adaptation with Variational Information
  Bottleneck
Improving Unsupervised Domain Adaptation with Variational Information BottleneckEuropean Conference on Artificial Intelligence (ECAI), 2019
Yuxuan Song
Lantao Yu
Zhangjie Cao
Zhiming Zhou
Jian Shen
Shuo Shao
Weinan Zhang
Yong Yu
96
18
0
21 Nov 2019
Unsupervised Domain Adaptation via Structured Prediction Based Selective
  Pseudo-Labeling
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-LabelingAAAI Conference on Artificial Intelligence (AAAI), 2019
Qian Wang
T. Breckon
OOD
150
249
0
18 Nov 2019
Transductive Zero-Shot Hashing for Multilabel Image Retrieval
Transductive Zero-Shot Hashing for Multilabel Image RetrievalIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Qin Zou
Zheng Zhang
Ling Cao
Long Chen
Song Wang
141
13
0
17 Nov 2019
Reducing Domain Gap by Reducing Style Bias
Reducing Domain Gap by Reducing Style Bias
Hyeonseob Nam
HyunJae Lee
Jongchan Park
Wonjun Yoon
Donggeun Yoo
369
64
0
25 Oct 2019
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Class-imbalanced Domain Adaptation: An Empirical Odyssey
Shuhan Tan
Xingchao Peng
Kate Saenko
OOD
127
11
0
23 Oct 2019
A General Upper Bound for Unsupervised Domain Adaptation
A General Upper Bound for Unsupervised Domain Adaptation
Dexuan Zhang
Dániel Pfeifer
OODAAML
168
2
0
03 Oct 2019
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