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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
Agile Multi-Source-Free Domain Adaptation
Agile Multi-Source-Free Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2024
Xinyao Li
Jingjing Li
Fengling Li
Lei Zhu
Ke Lu
213
18
0
08 Mar 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
Sanqing Qu
Tianpei Zou
Lianghua He
Florian Röhrbein
Alois Knoll
Guang Chen
Changjun Jiang
266
43
0
06 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
220
50
0
05 Mar 2024
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For
  Tuning-Free Adaptive Domain Generalization
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization
Feng Hou
Jin Yuan
Ying Yang
Yang Liu
Yang Zhang
Cheng Zhong
Peng Wang
Jianping Fan
Yong Rui
Zhiqiang He
VLM
217
2
0
05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Tianyu Wang
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
318
21
0
04 Mar 2024
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain
  Adaptation via Architecture Zoo
Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo
Jiangbo Pei
Ruizhe Li
Aidong Men
Yang Liu
Xiahai Zhuang
Qingchao Chen
253
1
0
03 Mar 2024
Collaborate to Adapt: Source-Free Graph Domain Adaptation via
  Bi-directional Adaptation
Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
Zhen Zhang
Meihan Liu
Anhui Wang
Hongyang Chen
Zhao Li
Jiajun Bu
Bingsheng He
TTA
219
17
0
03 Mar 2024
Fine-tuning with Very Large Dropout
Fine-tuning with Very Large Dropout
Jianyu Zhang
Léon Bottou
390
9
0
01 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
196
8
0
27 Feb 2024
StochCA: A Novel Approach for Exploiting Pretrained Models with
  Cross-Attention
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
SeungWon Seo
Suho Lee
Sangheum Hwang
242
0
0
25 Feb 2024
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An
  In-depth Empirical Analysis
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis
Andrea Maracani
Raffaello Camoriano
Elisa Maiettini
Davide Talon
Lorenzo Rosasco
Lorenzo Natale
325
1
0
25 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A
  Cross-Field Perspective
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective
Jeng-Lin Li
Chih-Fan Hsu
Ming-Ching Chang
Wei-Chao Chen
OOD
244
2
0
20 Feb 2024
Towards Cross-Domain Continual Learning
Towards Cross-Domain Continual Learning
Marcus Vinícius de Carvalho
Mahardhika Pratama
Jie Zhang
Chua Haoyan
E. Yapp
CLL
207
3
0
19 Feb 2024
Learning Conditional Invariances through Non-Commutativity
Learning Conditional Invariances through Non-Commutativity
Abhra Chaudhuri
Serban Georgescu
Anjan Dutta
213
1
0
18 Feb 2024
DART: A Principled Approach to Adversarially Robust Unsupervised Domain
  Adaptation
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
Yunjuan Wang
Hussein Hazimeh
Natalia Ponomareva
Alexey Kurakin
Ibrahim Hammoud
Raman Arora
OODAAML
181
1
0
16 Feb 2024
Any-Shift Prompting for Generalization over Distributions
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
Jiayi Shen
Mohammad Mahdi Derakhshani
Tianran Ouyang
Cees G. M. Snoek
OODVPVLMVLM
343
20
0
15 Feb 2024
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And
  Reparameterization
SepRep-Net: Multi-source Free Domain Adaptation via Model Separation And Reparameterization
Ying Jin
Yuan Liu
Dahua Lin
254
4
0
13 Feb 2024
Domain Adaptation Using Pseudo Labels
Domain Adaptation Using Pseudo Labels
S. Chhabra
Hemanth Venkateswara
Baoxin Li
287
1
0
09 Feb 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Rethinking Propagation for Unsupervised Graph Domain Adaptation
Meihan Liu
Zeyu Fang
Zhen Zhang
Ming Gu
Sheng Zhou
Xin Eric Wang
Jiajun Bu
AI4CE
222
34
0
08 Feb 2024
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition
  via Fine-grained Domain Adaptation
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation
Daniel Batrakhanov
T. Eerola
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
María Teresa Camarena-Gómez
Jukka Seppälä
Heikki Kälviäinen
228
3
0
08 Feb 2024
Source-Free Domain Adaptation with Diffusion-Guided Source Data
  Generation
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
Shivang Chopra
Suraj Kothawade
Houda Aynaou
Vasu Sharma
DiffM
247
5
0
07 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality GapInternational Conference on Learning Representations (ICLR), 2024
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
398
1
0
06 Feb 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
Continual Domain Adversarial Adaptation via Double-Head DiscriminatorsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yan Shen
Zhanghexuan Ji
Chunwei Ma
Mingchen Gao
TTA
293
2
0
05 Feb 2024
Enhancing Compositional Generalization via Compositional Feature
  Alignment
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang
Haozhe Si
Huajie Shao
Han Zhao
306
3
0
05 Feb 2024
Composite Active Learning: Towards Multi-Domain Active Learning with
  Theoretical Guarantees
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Guang-Yuan Hao
Hengguan Huang
Haotian Wang
Jie Gao
Hao Wang
OOD
300
3
0
03 Feb 2024
Robust Multi-Task Learning with Excess Risks
Robust Multi-Task Learning with Excess Risks
Yifei He
Shiji Zhou
Guojun Zhang
Hyokun Yun
Yi Tian Xu
Belinda Zeng
Trishul Chilimbi
Han Zhao
324
21
0
03 Feb 2024
Parametric Feature Transfer: One-shot Federated Learning with Foundation
  Models
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
Mahdi Beitollahi
Alex Bie
S. Hemati
Leo Maxime Brunswic
Xu Li
Xi Chen
Guojun Zhang
FedML
223
12
0
02 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation
  of Prediction Rationale
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu
Xiaofeng Cao
Qi Chen
Bowen Zhang
Ziqin Zhou
Anton Van Den Hengel
Lingqiao Liu
206
1
0
02 Feb 2024
A Class-aware Optimal Transport Approach with Higher-Order Moment
  Matching for Unsupervised Domain Adaptation
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
Tuan Nguyen
Van Nguyen
Trung Le
He Zhao
Quan Hung Tran
Dinh Q. Phung
OT
187
1
0
29 Jan 2024
Understanding Domain Generalization: A Noise Robustness Perspective
Understanding Domain Generalization: A Noise Robustness PerspectiveInternational Conference on Learning Representations (ICLR), 2024
Rui Qiao
K. H. Low
OOD
291
8
0
26 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation
LanDA: Language-Guided Multi-Source Domain Adaptation
Zhenbin Wang
Lei Zhang
Lituan Wang
Minjuan Zhu
218
14
0
25 Jan 2024
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised
  Domain Generalization
Improving Pseudo-labelling and Enhancing Robustness for Semi-Supervised Domain Generalization
Adnan Khan
Mai A. Shaaban
Muhammad Haris Khan
316
11
0
25 Jan 2024
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
Shaoheng Fang
Rui Ye
Wenhao Wang
Zuhong Liu
Yuxiao Wang
Yafei Wang
Siheng Chen
Yanfeng Wang
344
4
0
23 Jan 2024
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
AdaEmbed: Semi-supervised Domain Adaptation in the Embedding Space
A. Mottaghi
Mohammad Abdullah Jamal
Serena Yeung
Omid Mohareri
170
2
0
23 Jan 2024
Inter-Domain Mixup for Semi-Supervised Domain Adaptation
Inter-Domain Mixup for Semi-Supervised Domain AdaptationPattern Recognition (Pattern Recogn.), 2023
Jichang Li
Guanbin Li
Yizhou Yu
251
26
0
21 Jan 2024
Adaptive Betweenness Clustering for Semi-Supervised Domain Adaptation
Adaptive Betweenness Clustering for Semi-Supervised Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2023
Jichang Li
Guanbin Li
Yizhou Yu
225
16
0
21 Jan 2024
One Step Learning, One Step Review
One Step Learning, One Step Review
Xiaolong Huang
Qiankun Li
Xueran Li
Xuesong Gao
272
2
0
19 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization
Guanglin Zhou
Zhongyi Han
Shiming Chen
Erdun Gao
Liming Zhu
Tongliang Liu
Lina Yao
Kun Zhang
248
6
0
18 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
443
2
0
17 Jan 2024
Decoupled Prototype Learning for Reliable Test-Time Adaptation
Decoupled Prototype Learning for Reliable Test-Time AdaptationIEEE transactions on multimedia (IEEE TMM), 2024
Guowei Wang
Changxing Ding
Wentao Tan
Zhuliang Yu
VLM
265
5
0
15 Jan 2024
Direct Distillation between Different Domains
Direct Distillation between Different DomainsEuropean Conference on Computer Vision (ECCV), 2024
Jialiang Tang
Shuo Chen
Gang Niu
Hongyuan Zhu
Qiufeng Wang
Chen Gong
Masashi Sugiyama
315
6
0
12 Jan 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain
  Alignment
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain AlignmentIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Lin Zhang
Linghan Xu
Saman Motamed
Shayok Chakraborty
Fernando de la Torre
289
7
0
10 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen
Yulong Zhang
Weisen Jiang
Jiangang Lu
Yu Zhang
VLM
391
3
0
06 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
262
0
0
06 Jan 2024
Plug-and-Play Transformer Modules for Test-Time Adaptation
Plug-and-Play Transformer Modules for Test-Time Adaptation
Xiangyu Chang
Sk. Miraj Ahmed
S. Krishnamurthy
Başak Güler
A. Swami
Samet Oymak
Amit K. Roy-Chowdhury
498
0
0
06 Jan 2024
Multi-Source Collaborative Gradient Discrepancy Minimization for
  Federated Domain Generalization
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Yikang Wei
Yahong Han
288
17
0
05 Jan 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
De-Confusing Pseudo-Labels in Source-Free Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2024
I. Diamant
Amir Rosenfeld
Idan Achituve
Jacob Goldberger
Arnon Netzer
314
4
0
03 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
Samarth Mishra
Carlos D. Castillo
Hongcheng Wang
Kate Saenko
Venkatesh Saligrama
244
2
0
31 Dec 2023
Unraveling the Key Components of OOD Generalization via Diversification
Unraveling the Key Components of OOD Generalization via Diversification
Harold Benoit
Liangze Jiang
Andrei Atanov
Ouguzhan Fatih Kar
Mattia Rigotti
Amir Zamir
CML
346
3
0
26 Dec 2023
Merging Vision Transformers from Different Tasks and Domains
Merging Vision Transformers from Different Tasks and Domains
Peng Ye
Chenyu Huang
Mingzhu Shen
Tao Chen
Yongqi Huang
Yuning Zhang
Wanli Ouyang
MoMe
221
16
0
25 Dec 2023
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