Unsupervised Domain Adaptation

Also known as UDA

Overview

Unsupervised domain adaptation studies how to transfer a model trained on labeled source data to a target setting where the data distribution differs and labels are unavailable. Common approaches align source and target features with adversarial losses such as DANN, discrepancy measures such as MMD or CORAL, and self-training with pseudo-labels and consistency regularization; newer work also uses foundation models, synthetic data, and parameter-efficient or test-time updates. Methods are tested across shifts in imaging devices, weather, sensors, languages, and graph structure, often on benchmarks such as Office-Home, DomainNet, and Cityscapes. A central tension is that alignment can blur class distinctions or reinforce incorrect pseudo-labels, while choosing a reliable model without target labels remains difficult, especially under label shift or large real-world changes.

Latest papers

CardsList

183 papers16 papers in the last four weeks, down 24% on the four weeks before. 0.1% of all new papers.

  1. MedAdaptAgent: An Automatic Harness for Adapting Medical Imaging Models to New Sites

    Oct 26, 2026Hanxue Gu, Zhonghao Liu, Xingrui Gu +2Unsupervised Domain AdaptationMedical Image Segmentation

  2. Learning Domain Trajectories with Flow Matching for Gradual Domain Adaptation

    Oct 22, 2026Yubo Huang, Yushe Cao, Zixi Wang +4Domain AdaptationUnsupervised Domain Adaptation

  3. One-shot federated unsupervised domain adaptation with Smoothed Knowledge Distillation and teacher refinement

    Oct 22, 2026Ali Abedi, Q. M. Jonathan Wu, Ning Zhang +1Unsupervised Domain AdaptationFederated Learning

  4. Progressive Subset Selection and Cascaded Consistency for Unsupervised Vision-Language Model Adaptation

    Oct 20, 2026Hao Yan, Guanghui WangVLM AdaptationUnsupervised Domain Adaptation

  5. Confidence-Guided Pseudo-Label Refinement for Unsupervised Cross-Domain Person Re-Identification

    Oct 19, 2026Sundas Iqbal, Danish Ali, Qing Tian +3Person Re-IdentificationUnsupervised Domain Adaptation

  6. International Multi-Centre Validation of Unsupervised Domain Adaptation for Precise Discrimination between Normal and Abnormal Retinal Development

    Oct 15, 2026Zhanhan Tu, Nikhil Reddy, Helen J. Kuht +27Unsupervised Domain AdaptationOptical Coherence Tomography

  7. A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation

    Oct 15, 2026Songlin Liu, Linwei Chen, Li Zhang +2Remote Sensing Image SegmentationLand Cover Classification

  8. Mobility Helps Learning: Unsupervised Model Adaptation for Object Recognition via Movement

    Oct 11, 2026Yanan Ma, Yihang Tao, Zhengru Fang +3Test-Time AdaptationUnsupervised Domain Adaptation

  9. JMT-YOLO: Multi-task Domain Adaptation via Segmentation-Guided Consistency Learning

    Oct 9, 2026Zhenhua Yu, Jiahao Zhang, Wenchao Zhang +2Object DetectionUnsupervised Domain Adaptation

  10. SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts

    Oct 5, 2026Shanglin Li, Shiwen Chu, Okan Koç +5Cross-Subject EEG DecodingUnsupervised Domain Adaptation

  11. Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts

    Oct 2, 2026Yue Hou, Ruomei Liu, Yingke Su +2Continual Test-Time AdaptationDomain-Incremental Learning

  12. Weather-Aware Domain Adaptation for Street-View Weather Recognition

    Oct 1, 2026Hossein Maghsoumi, George Atia, Yaser P. FallahMulti-Source Domain AdaptationAutonomous Driving Benchmarks

  13. Unsupervised Domain Adaptation for Enhanced Radiometer Image Precipitation Estimation using Conditional Flow Matching

    Oct 1, 2026Victor Enescu, Assaad Zeghina, Matthieu Meignin +2Remote Sensing Image UnderstandingUnsupervised Domain Adaptation

  14. MC-PanDA++: Simpler, Stronger, and More Robust Domain-Adaptive Panoptic Segmentation

    Sep 30, 2026Ivan Martinović, Josip Šarić, Yuki M. Asano +1Panoptic SegmentationUnsupervised Domain Adaptation

  15. Template-Search Domain Adaptation via Multi-Stage Feature Alignment for Cross-Modal Object Tracking

    Sep 29, 2026Fereshteh Aghaee Meibodi, Amir Mehdi Soufi Enayati, Shadi Alijani +1Multimodal Visual Object TrackingDomain-Adversarial Learning

  16. The Domain Is a Residue: Adapting Self-Supervised Features, Not Generators

    Sep 29, 2026Thomas Deixelberger, Markus SteinbergerSynthetic-to-Real Domain AdaptationUnsupervised Domain Adaptation

  17. Revisiting Diffusion Fine-Tuning for Unsupervised Domain Adaptation

    Sep 27, 2026Xuan Qi, Yi Wei, Daniele Berardini +2Unsupervised Domain AdaptationDomain Adaptation

  18. Domain Recentering and Confidence-Weighted Prior Calibration for Vision-Language Models

    Sep 24, 2026Youngeun Seol, Jimin Shin, Heeseo Yoon +1Source-Free Domain AdaptationUnsupervised Domain Adaptation

  19. HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning

    Sep 22, 2026Han Chen, Hanchen Wang, Hongmei Chen +3Unsupervised Domain AdaptationConcept Drift

  20. Graph Domain Adaptation Does Not End with Representation Learning

    Sep 22, 2026Ziqian Liu, Yongxue Xu, Enze Zhang +3Unsupervised Domain AdaptationGraph Representation Learning

  21. SPACE: Semantic Projection and Alignment of CLIP Embeddings for Domain Adaptation

    Sep 19, 2026João Renato Ribeiro Manesco, Danilo Samuel Jodas, Douglas Rodrigues +2Domain AdaptationUnsupervised Domain Adaptation

  22. BLINC: Blind Calibration For Training-Free Speech Enhancement Adaptation

    Sep 18, 2026Tobias Raichle, Ekaterina Gavrilko, Bin YangSpeech EnhancementUnsupervised Domain Adaptation

  23. Learning from Distributed Eyes: Leveraging Collaborative Perception for Automated Model Adaptation

    Sep 16, 2026Yanan Ma, Yihang Tao, Zhengru Fang +4Unsupervised Domain AdaptationAutonomous Driving Perception

  24. Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training

    Sep 12, 2026Luqi Sun, Shreeram Suresh Chandra, Aurosweta Mahapatra +3Speech-Based Dementia DetectionAlzheimer's Disease Classification

  25. Data-Efficient Agentic Graph Domain Adaptation via Reliability-Aware Prototype Learning

    Sep 12, 2026Yingxu Wang, Kunyu Zhang, Siyang GaoGraph Domain AdaptationDomain Adaptation

  26. Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer

    Sep 11, 2026Ziliang Hong, Hongyi Pan, Halil Ertugrul Aktas +7Domain-Adversarial LearningCross-Modality Medical Image Segmentation