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1706.07522
Cited By

Deep Hashing Network for Unsupervised Domain Adaptation

Deep Hashing Network for Unsupervised Domain Adaptation

22 June 2017

Hemanth Venkateswara

Shayok Chakraborty

S. Panchanathan

ArXiv (abs)PDF HTML

Papers citing "Deep Hashing Network for Unsupervised Domain Adaptation"

50 / 1,215 papers shown

How (Mis)calibrated is Your Federated CLIP and What To Do About It?

How (Mis)calibrated is Your Federated CLIP and What To Do About It?

Masih Aminbeidokhti

198

0

0

03 Dec 2025

Generalizing Vision-Language Models with Dedicated Prompt Guidance

Generalizing Vision-Language Models with Dedicated Prompt Guidance

205

0

0

02 Dec 2025

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution

Shravan Chaudhari

278

0

0

01 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

Krishn Vishwas Kher

Swarnim Maheshwari

Vineeth N. Balasubramanian

152

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

252

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

Miguel Calvo-Fullana

Alejandro Ribeiro

112

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

Mohamed S. Shehata

370

0

0

06 Nov 2025

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

357

2

0

31 Oct 2025

Latent Domain Prompt Learning for Vision-Language Models

Latent Domain Prompt Learning for Vision-Language Models

Arsham Gholamzadeh Khoee

158

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

221

0

0

29 Oct 2025

Mitigating Negative Transfer via Reducing Environmental Disagreement

Mitigating Negative Transfer via Reducing Environmental Disagreement

114

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

107

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

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

130

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

Biplab Banerjee

127

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

156

4

0

19 Oct 2025

Domain Generalizable Continual Learning

Domain Generalizable Continual Learning

195

0

0

19 Oct 2025

Humanoid-inspired Causal Representation Learning for Domain Generalization

Humanoid-inspired Causal Representation Learning for Domain Generalization

111

0

0

18 Oct 2025

Continual Knowledge Consolidation LORA for Domain Incremental Learning

Continual Knowledge Consolidation LORA for Domain Incremental Learning

Mahardhika Pratama

Ryszard Kowalczyk

197

0

0

17 Oct 2025

Approximate Domain Unlearning for Vision-Language Models

Approximate Domain Unlearning for Vision-Language Models

Hirokatsu Kataoka

195

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

Srikanth Muralidharan

169

0

0

08 Oct 2025

Domain Generalization: A Tale of Two ERMs

Domain Generalization: A Tale of Two ERMs

Aditya Gangrade

114

0

0

06 Oct 2025

Computing Wasserstein Barycenters through Gradient Flows

Computing Wasserstein Barycenters through Gradient Flows

Eduardo Fernandes Montesuma

192

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

120

0

0

04 Oct 2025

Source-Free Cross-Domain Continual Learning

Source-Free Cross-Domain Continual Learning

Muhammad Furqon

Mahardhika Pratama

Habibullah Habibullah

225

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

282

0

0

02 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

144

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

264

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

95

0

0

29 Sep 2025

Toward a Holistic Approach to Continual Model Merging

Toward a Holistic Approach to Continual Model Merging

190

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

152

0

0

26 Sep 2025

Category Discovery: An Open-World Perspective

Category Discovery: An Open-World Perspective

265

1

0

26 Sep 2025

Federated Domain Generalization with Domain-specific Soft Prompts Generation

Federated Domain Generalization with Domain-specific Soft Prompts Generation

Zhangcheng Huang

186

0

0

25 Sep 2025

Training-Free Label Space Alignment for Universal Domain Adaptation

Training-Free Label Space Alignment for Universal Domain Adaptation

188

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

275

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

112

0

0

18 Sep 2025

Class-Invariant Test-Time Augmentation for Domain Generalization

Class-Invariant Test-Time Augmentation for Domain Generalization

393

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

135

0

0

16 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

78

0

0

10 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

Akinori F. Ebihara

112

0

0

10 Sep 2025

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval

95

0

0

04 Sep 2025

VASSO: Variance Suppression for Sharpness-Aware Minimization

272

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

109

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

239

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

Christian Desrosiers

135

0

0

28 Aug 2025

Flatness-aware Curriculum Learning via Adversarial Difficulty

Flatness-aware Curriculum Learning via Adversarial Difficulty

Yoshikazu Hayashi

223

0

0

26 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

110

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

119

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

172

0

0

19 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

126

0

0

07 Aug 2025

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