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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 / 1,213 papers shown
Title
Generalizing Vision-Language Models with Dedicated Prompt Guidance
Generalizing Vision-Language Models with Dedicated Prompt Guidance
Xinyao Li
Yinjie Min
H. G. Chen
Zhekai Du
Fengling Li
Jingjing Li
VLM
172
0
0
02 Dec 2025
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Memory-Integrated Reconfigurable Adapters: A Unified Framework for Settings with Multiple Tasks
Susmit Agrawal
Krishn Vishwas Kher
Saksham Mittal
Swarnim Maheshwari
Vineeth N. Balasubramanian
CLL
112
0
0
30 Nov 2025
Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
Huisoo Lee
Jisu Han
Hyunsouk Cho
Wonjun Hwang
TTAVLMAI4CE
222
0
0
24 Nov 2025
Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
Leopoldo Agorio
J. Cerviño
Miguel Calvo-Fullana
Alejandro Ribeiro
J. Bazerque
104
0
0
17 Nov 2025
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
GNN-MoE: Context-Aware Patch Routing using GNNs for Parameter-Efficient Domain Generalization
Mahmoud Soliman
Omar Abdelaziz
Ahmed Radwan
Anand
Mohamed S. Shehata
MoE
347
0
0
06 Nov 2025
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction
Han Yu
Kehan Li
Dongbai Li
Yue He
Xingxuan Zhang
Peng Cui
OODD
346
2
0
31 Oct 2025
Latent Domain Prompt Learning for Vision-Language Models
Latent Domain Prompt Learning for Vision-Language Models
Zhixing Li
Arsham Gholamzadeh Khoee
Yinan Yu
OODVLM
140
0
0
29 Oct 2025
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation
Yuyang Huang
Yabo Chen
Junyu Zhou
Wenrui Dai
Xiaopeng Zhang
Junni Zou
Hongkai Xiong
Qi Tian
TTA
194
0
0
29 Oct 2025
Mitigating Negative Transfer via Reducing Environmental Disagreement
Mitigating Negative Transfer via Reducing Environmental Disagreement
Hui Sun
Zheng Xie
Hao He
Ming Li
92
0
0
28 Oct 2025
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
Lixian Zhang
Peifeng Zhang
Yibin Wen
Qingmei Li
Yang Zhang
Haohuan Fu
100
0
0
25 Oct 2025
Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation
Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation
Renrong Shao
Wei Zhang
Jun Wang
116
0
0
25 Oct 2025
VeFA: Vector-Based Feature Space Adaptation for Robust Model Fine-Tuning
VeFA: Vector-Based Feature Space Adaptation for Robust Model Fine-Tuning
Peng Wang
Minghao Gu
Qiang Huang
113
0
0
22 Oct 2025
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
HIDISC: A Hyperbolic Framework for Domain Generalization with Generalized Category Discovery
Vaibhav Rathore
Divyam Gupta
Biplab Banerjee
123
0
0
20 Oct 2025
Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
Connecting Domains and Contrasting Samples: A Ladder for Domain GeneralizationKnowledge Discovery and Data Mining (KDD), 2025
Tianxin Wei
Yifan Chen
Xinrui He
Wenxuan Bao
Jingrui He
143
4
0
19 Oct 2025
Domain Generalizable Continual Learning
Domain Generalizable Continual Learning
Hongwei Yan
Guanglong Sun
Zhiqi Kang
Yi Zhong
Liyuan Wang
CLLOODVLM
176
0
0
19 Oct 2025
Humanoid-inspired Causal Representation Learning for Domain Generalization
Humanoid-inspired Causal Representation Learning for Domain Generalization
Ze Tao
Jian Zhang
Haowei Li
Xianshuai Li
Yifei Peng
Xiyao Liu
Senzhang Wang
Chao Liu
Sheng Ren
Shichao Zhang
80
0
0
18 Oct 2025
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Continual Knowledge Consolidation LORA for Domain Incremental Learning
Naeem Paeedeh
Mahardhika Pratama
Weiping Ding
Jimmy Cao
Wolfgang Mayer
Ryszard Kowalczyk
CLLMoMe
188
0
0
17 Oct 2025
Approximate Domain Unlearning for Vision-Language Models
Approximate Domain Unlearning for Vision-Language Models
Kodai Kawamura
Yuta Goto
Rintaro Yanagi
Hirokatsu Kataoka
Go Irie
MUVLM
173
0
0
09 Oct 2025
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
High-Rate Mixout: Revisiting Mixout for Robust Domain Generalization
Masih Aminbeidokhti
H. R. Medeiros
Srikanth Muralidharan
Eric Granger
M. Pedersoli
OOD
145
0
0
08 Oct 2025
Domain Generalization: A Tale of Two ERMs
Domain Generalization: A Tale of Two ERMs
Yilun Zhu
Naihao Deng
Naichen Shi
Aditya Gangrade
Clayton Scott
OOD
91
0
0
06 Oct 2025
Computing Wasserstein Barycenters through Gradient Flows
Computing Wasserstein Barycenters through Gradient Flows
Eduardo Fernandes Montesuma
Yassir Bendou
Mike Gartrell
176
0
0
06 Oct 2025
Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting
Technical note on Sequential Test-Time Adaptation via Martingale-Driven Fisher Prompting
Behraj Khan
T. Syed
116
0
0
04 Oct 2025
Consistent Assistant Domains Transformer for Source-free Domain Adaptation
Consistent Assistant Domains Transformer for Source-free Domain AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2025
Renrong Shao
Wei Zhang
Kangyang Luo
Qin Li
and Jun Wang
128
0
0
02 Oct 2025
VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming
VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming
D. Nguyen
D. Nguyen
235
0
0
02 Oct 2025
Source-Free Cross-Domain Continual Learning
Source-Free Cross-Domain Continual Learning
Muhammad Furqon
Mahardhika Pratama
Igor Skrjanc
Lin Liu
Habibullah Habibullah
K. Doğançay
CLLBDL
214
0
0
02 Oct 2025
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
Jing Wang
Wonho Bae
Jiahong Chen
Wenxu Wang
Junhyug Noh
232
0
0
01 Oct 2025
DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
DAM: Dual Active Learning with Multimodal Foundation Model for Source-Free Domain Adaptation
Xi Chen
Hongxun Yao
Zhaopan Xu
Kui Jiang
VLM
76
0
0
29 Sep 2025
Toward a Holistic Approach to Continual Model Merging
Toward a Holistic Approach to Continual Model Merging
Hoang Phan
Sungmin Cha
Tung Lam Tran
Qi Lei
MoMeCLL
182
1
0
28 Sep 2025
A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation
A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation
Jiaping Yu
Muli Yang
Jiapeng Ji
Jiexi Yan
Cheng Deng
139
0
0
26 Sep 2025
Category Discovery: An Open-World Perspective
Category Discovery: An Open-World Perspective
Zhenqi He
Yuanpei Liu
Kai Han
238
1
0
26 Sep 2025
Federated Domain Generalization with Domain-specific Soft Prompts Generation
Federated Domain Generalization with Domain-specific Soft Prompts Generation
Jianhan Wu
Xiaoyang Qu
Zhangcheng Huang
Jianzong Wang
FedML
158
0
0
25 Sep 2025
Training-Free Label Space Alignment for Universal Domain Adaptation
Training-Free Label Space Alignment for Universal Domain Adaptation
Dujin Lee
Sojung An
Jungmyung Wi
Kuniaki Saito
Donghyun Kim
VLM
176
0
0
22 Sep 2025
COLA: Context-aware Language-driven Test-time Adaptation
COLA: Context-aware Language-driven Test-time AdaptationIEEE Transactions on Image Processing (IEEE TIP), 2025
Aiming Zhang
Tianyuan Yu
Liang Bai
Jun Tang
Yanming Guo
Yirun Ruan
Yun Zhou
Zhihe Lu
TTAVLM
254
0
0
22 Sep 2025
CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization
CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization
Min Zhang
Bo Jiang
Jie Zhou
Y. Liu
Xin Lin
VLM
100
0
0
18 Sep 2025
Class-Invariant Test-Time Augmentation for Domain Generalization
Class-Invariant Test-Time Augmentation for Domain Generalization
Zhicheng Lin
Xiaolin Wu
Xi Zhang
OODTTA
358
0
0
17 Sep 2025
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach
Yiyuan Yang
Guodong Long
Qinghua Lu
Liming Zhu
Jing Jiang
FedML
124
0
0
16 Sep 2025
Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: The Utility of Vision Foundation Models
Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: The Utility of Vision Foundation Models
Kosuke Kihara
Junki Mori
Taiki Miyagawa
Akinori F. Ebihara
FedML
96
0
0
10 Sep 2025
E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
Samuel Felipe dos Santos
Tiago A. Almeida
Jurandy Almeida
64
0
0
10 Sep 2025
DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval
DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval
Ruohong Yang
Peng Hu
Yunfan Li
Xi Peng
76
0
0
04 Sep 2025
VASSO: Variance Suppression for Sharpness-Aware Minimization
Bingcong Li
Yilang Zhang
G. Giannakis
232
1
0
02 Sep 2025
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
Jiacheng Jiang
Yuan Meng
Chen Tang
Han Yu
Qun Li
Zhi Wang
Wenwu Zhu
MQ
101
0
0
31 Aug 2025
Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
Ha Min Son
Zhe Zhao
Shahbaz Rezaei
Xin Liu
217
0
0
29 Aug 2025
Domain Adaptation Techniques for Natural and Medical Image Classification
Domain Adaptation Techniques for Natural and Medical Image ClassificationInformation Sciences (Inf. Sci.), 2025
Ahmad Chaddad
Yihang Wu
R. Kateb
Christian Desrosiers
OOD
128
0
0
28 Aug 2025
Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency
Zhitong Cheng
Yiran Jiang
Yulong Ge
Yufeng Li
Zhongheng Qin
Rongzhi Lin
Jianwei Ma
104
0
0
26 Aug 2025
Flatness-aware Curriculum Learning via Adversarial Difficulty
Flatness-aware Curriculum Learning via Adversarial Difficulty
Hiroaki Aizawa
Yoshikazu Hayashi
ODL
212
0
0
26 Aug 2025
Preserving Domain Generalization in Fine-Tuning via Joint Parameter Selection
Preserving Domain Generalization in Fine-Tuning via Joint Parameter Selection
Bin Pan
Shiyu Shen
Zongbin Wang
Zhenwei Shi
Xia Xu
88
0
0
23 Aug 2025
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency
Calibrating Biased Distribution in VFM-derived Latent Space via Cross-Domain Geometric Consistency
Yanbiao Ma
Wei-Ming Dai
Bowei Liu
Jiayi Chen
Wenke Huang
Guancheng Wan
Zhiwu Lu
Junchi Yan
FedML
152
0
0
19 Aug 2025
Unified modality separation: A vision-language framework for unsupervised domain adaptation
Unified modality separation: A vision-language framework for unsupervised domain adaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Xinyao Li
Jingjing Li
Zhekai Du
Lei Zhu
Heng Tao Shen
VLM
154
1
0
07 Aug 2025
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Adapting Vision-Language Models Without Labels: A Comprehensive Survey
Hao Dong
Lijun Sheng
Jian Liang
Ran He
Eleni Chatzi
Olga Fink
OffRLVLM
208
3
0
07 Aug 2025
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective
Zhekai Zhou
Shudong Liu
Zhaokun Zhou
Yang Liu
Qiang Yang
Yuesheng Zhu
Guibo Luo
100
0
0
07 Aug 2025
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