Multi-Source Domain Adaptation

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5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Weather-Aware Domain Adaptation for Street-View Weather Recognition
Oct 1, 2026Hossein Maghsoumi, George Atia, Yaser P. FallahMulti-Source Domain Adaptation Autonomous Driving Benchmarks
Department of Electrical and Computer Engineering University of Central Florida, Orlando, USA · Department of Computer Science University of Central Florida, Orlando, USA
A Multi-Dataset Benchmark of YOLO-Based Weed Detection in Precision Agriculture
Sep 27, 2026Hristina Zdraveska, Vlatko Spasev, Ivica Dimitrovski +2Multi-Source Domain Adaptation Weed Detection
Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, Rudzer Boshkovikj 16, P.O. 393, Skopje, 1000, North Macedonia
Domain-Adapted Diffusion Models for Conditional Independence Testing
Sep 27, 2026Yanfeng Yang, Junda Zhao, Yijie Gao +8Multi-Source Domain Adaptation Domain Adaptation
The Graduate University for Advanced Studies, SOKENDAI, Tokyo, Japan · The Institute of Statistical Mathematics, Tokyo, Japan · East China Normal University, Shanghai, China +4
FreqCondNorm: Towards Cross-domain Predictive Maintenance through a Frequency-Conditioned Transformer Foundation Model
Sep 17, 2026Zaynab Raounak, Camille LHermine, Zhiguo ZengMulti-Source Domain Adaptation Self-Supervised Time Series Representation Learning
Laboratoire Génie Industriel, CentraleSupélec, Université Paris-Saclay, France
Climate-ModernBERT: Revisiting Corpus Composition for Domain-Adaptive Continued Pretraining
Sep 7, 2026Yongan Yu, Shantam Raj, Jingwei Ni +3Multi-Source Domain Adaptation Domain-Adaptive Pretraining
McGill University · Mila – Quebec Artificial Intelligence Institute · University of Zürich +2
Generative multi-domain transfer learning for fault detection in data-scarce wind turbines
Aug 31, 2026Stefan Jonas, Angela MeyerMulti-Source Domain Adaptation Unsupervised Anomaly Detection
School of Engineering and Computer Science, Bern University of Applied Sciences, Biel, Switzerland · Faculty of Informatics, Università della Svizzera italiana, Lugano, Switzerland · Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, The Netherlands
Transfer Learning for Avian Bioacoustics under Sparse Positive Labels
Aug 4, 2026Dhyey Patel, Yunting YinMulti-Source Domain Adaptation Weakly Supervised Learning
Eastern Michigan University Computer Science Department Ypsilanti, MI, USA
HarMoE: Multi-Source Chest Radiograph Pretraining with Dataset-Disentangled Experts
Aug 3, 2026Haozhe Luo, Ziyu Zhou, Shelley Zixin Shu +1Multi-Source Domain Adaptation Chest X-Ray Classification
ARTORG Center for Biomedical Engineering Research, University of Bern · Kaiko.AI, Zurich, Switzerland · Shanghai Jiao Tong University, Shanghai, China
Multi-Source Multi-View Graph Domain Adaptation with Hyperbolic Residual Encoding for Cross-Site MDD Identification from rs-fMRI
Jul 31, 2026Zhanpeng Zheng, Xiran Chen, Haiteng Jiang +6Multi-Source Domain Adaptation Domain Adaptation
School of Computer and Artificial Intelligence, Shandong Jianzhu University, Shandong, China. · School of Mathematics and Statistics, Chongqing Jiaotong University, Chongqing, China. · Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. +4
The Cross-Domain Generalization Cost of Offensive Language Detection
Jul 26, 2026Ruixing Ren, Junhui Zhao, Xiaoke Sun +1Multi-Source Domain Adaptation Hate Speech Detection
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China · National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing 100029, China
Transferable Low-Rank Convolutional Bases for Onboarding Unseen Medical Imaging Modalities
Jul 18, 2026Ranat Das Prangon, Istiaque Ahmed, Shajid Hasan Naim +2Multi-Source Domain Adaptation Medical Imaging
Dept. of Chemical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh. · Graduate School of Informatics, Osaka Metropolitan University, Osaka, Japan. · Dept. of Mechanical Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh. +2
Uncertainty-Aware Multi-Source Retinal Fluid Segmentation in OCT
Jul 9, 2026Animesh KumarMulti-Source Domain Adaptation Medical Imaging
Newcastle University, Newcastle upon Tyne NE1 7RU, United Kingdom
Unsupervised Collaborative Domain Adaptation for Driving Scene Parsing
Jun 1, 2026Jiahe Fan, Shaolong Shu, Mingjian Sun +4Multi-Source Domain Adaptation Source-Free Domain Adaptation
College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China · Department of Control Science and Engineering, the Harbin Institute of Technology, Harbin, Heilongjiang, 150001, China · School of Computer Science and Technology, Tongji University, Shanghai, 201804, China +2
Language-Induced Priors for Domain Adaptation
May 14, 2026Qiyuan Chen, Jiayu Zhou, Raed Al KontarMulti-Source Domain Adaptation Domain Adaptation
Industrial and Operations Engineering University of Michigan Ann Arbor, MI 48109 · School of Information University of Michigan Ann Arbor, MI 48109
Multi-Modal Guided Multi-Source Domain Adaptation for Object Detection
May 13, 2026Sangin Lee, Seokjun Kwon, Jeongmin Shin +2Multi-Source Domain Adaptation Domain Adaptation
Sejong University, Seoul, Republic of Korea · NAVER LABS, Seongnam, Republic of Korea · Artificial Intelligence and Robotics Institute (AIRI), Seoul, Republic of Korea
MUSDA: Multi-source Multi-modality Unsupervised Domain Adaptive 3D Object Detection for Autonomous Driving
May 11, 2026Xiaohu Lu, Hamed Khatounabadi, Hayder RadhaMulti-Source Domain Adaptation Unsupervised Domain Adaptation
Electrical and Computer Engineering Michigan State University East Lansing, USA
DeFed-GMM-DaDiL: A Decentralized Federated Framework for Domain Adaptation
May 5, 2026Rebecca Clain, Eduardo Fernandes Montesuma, Fred Ngole MboulaMulti-Source Domain Adaptation Domain Adaptation
Universit´e Paris-Saclay, CEA, List, F-91120 Palaiseau, France · Sigma Nova
AIDA-ReID: Adaptive Intermediate Domain Adaptation for Generalizable and Source-Free Person Re-Identification
Apr 30, 2026Sundas Iqbal, Qing Tian, Danish Ali +2Multi-Source Domain Adaptation Source-Free Domain Adaptation
School of Software, Nanjing University of Information Science and Technology, Nanjing 210044, China · Wuxi Institute of Technology, Nanjing University of Information Science and Technology, Wuxi 214000, China · School of Computer Science, Wuhan University, Wuhan 430070, China +2
A General Representation-Based Approach to Multi-Source Domain Adaptation
Apr 26, 2026Ignavier Ng, Yan Li, Zijian Li +3Multi-Source Domain Adaptation Unsupervised Domain Adaptation
Carnegie Mellon University · Mohamed bin Zayed University of Artificial Intelligence
Stabilizing In-Context Multi-Source Domain Adaptation for Biomedical Images Through Controls
Apr 22, 2026Ana Sanchez-Fernandez, Thomas Pinetz, Werner Zellinger +1Multi-Source Domain Adaptation Test-Time Adaptation
ELLIS Unit Linz, LIT AI Lab and Institute for Machine Learning, JKU Linz, Austria · Institute of Artificial Intelligence, Center for Medical Data Science, Medical University Vienna · Clinical Research Center for Medical AI, JKU Linz, Austria
Brain foundation model-guided source-selective domain adaptation for cross-subject EEG decoding
Jul 28, 2025Jinzhou Wu, Baoping Tang, Qikang Li +3Cross-Subject EEG Decoding Multi-Source Domain Adaptation
State Key Laboratory of Mechanical Transmission, College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China · Department of Computer Science, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands · Machine Learning Group, UiT–The Arctic University of Norway, 9019 Tromsø, Norway

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Weather-Aware Domain Adaptation for Street-View Weather Recognition

Hossein Maghsoumi, George Atia, Yaser P. Fallah

Department of Electrical and Computer Engineering University of Central Florida, Orlando, USA · Department of Computer Science University of Central Florida, Orlando, USA

Multi-Source Domain Adaptation Autonomous Driving Benchmarks Domain-Adversarial Learning Unsupervised Domain Adaptation Autonomous Driving Perception

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Adverse conditions such as rain, snow, fog, and dust remain challenging for camera-based perception in autonomous driving. We study multi-class weather recognition from street-view images under domain shift, where most available training data come from non-street-view sources that differ markedly from real driving scenes. We propose Weather-Aware Adversarial Discriminative Domain Adaptation (WA-ADDA), which conditions the domain discriminator on predicted weather to promote features that are both domain-invariant and weather-sensitive. We also assemble a multi-dataset benchmark by unifying diverse non-street-view weather collections as sources and real street-view images as targets, and define a standardized evaluation protocol with macro accuracy as the primary metric. Across backbones (ResNet-50, EfficientNet, VGG, DenseNet), WA-ADDA consistently improves street-view performance and yields strong per-class recalls in challenging conditions while preserving clear-weather accuracy. These findings highlight the feasibility of domain-adapted weather recognition and the value of our benchmark for advancing robust, on-board perception.

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