Domain Generalization

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28 papers in the last four weeks, up 47% on the four weeks before. 0.3% of all new papers.

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Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
May 26, 2026Qida Tan, Hongyu Yang, Wenchao DuContrastive Learning Gaze Estimation
National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China · College of Computer Science, Sichuan University, Chengdu, China
Receipt Replay OOD: A Small Benchmark for Screen Replay Detection Under Domain Shift
May 26, 2026Alexander VinogradovDomain Generalization
IU International University of Applied Science
Evi-Steer: Learning to Steer Biomedical Vision-Language Models through Efficient and Generalizable Evidential Tuning
May 25, 2026Taha Koleilat, Hassan Rivaz, Yiming XiaoEvidential Deep Learning VLM Adaptation
Concordia University, Montreal, Canada
Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
May 25, 2026Yujing Liu, Yixin Liu, Yu Zheng +3Domain Generalization Anomaly Detection
Griffith University, Gold Coast, Australia · Tongji University, Shanghai, China
Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology
May 24, 2026Ben Vardi, Dana Schonberger, Yuval Friedmann +4Computational Pathology Unsupervised Domain Adaptation
Reichman University, Herzliya, Israel · Institute of Pathology, Sheba Medical Center, Ramat-Gan, Israel · Technion - Israel Institute of Technology, Haifa, Israel
Abduction-Deduction Entanglement: Domain Generalization via Representation Transplants
May 24, 2026Kasra Jalaldoust, Elias BareinboumDomain Generalization OOD Generalization
Department of Computer Science Columbia University New York, NY 10027, USA
HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
May 23, 2026Shubham Gupta, Nikhil Panwar, Partha Pratim RoyElectrocardiography Domain Generalization
Department of Computer Science and Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, Jharkhand, India. · Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.
GenHAR: Generalizing Cross-domain Human Activity Recognition for Last-mile Delivery
May 21, 2026Zhiqing Hong, Zelong Li, Xiubin Fan +5Human Activity Recognition Domain Generalization
HKUST (GZ) Guangzhou, China · JD Logistics Beijing, China · Beijing Normal–Hong Kong Baptist University Zhuhai, China +2
TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health
May 20, 2026Yuang Fan, Lilin Xu, Millie Wu +8Mental Health Domain Generalization
Columbia University, USA · University of North Carolina at Chapel Hill, USA · Yale University, USA +3
Multi-axis Analysis of Image Manipulation Localization
May 19, 2026Keanu Nichols, Divya Appapogu, Giscard Biamby +3Image Forgery Detection Domain Generalization
Boston University · University of California, Berkeley · Google +1
DASM: Domain-Aware Sharpness Minimization for Multi-Domain Voice Stream Steganalysis
May 19, 2026Pengcheng Zhou, Pianran Guo, Shuhua Chen +3Sharpness-Aware Minimization Domain Generalization
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore · School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China
HEAT: Heterogeneous End-to-End Autonomous Driving via Trajectory-Guided World Models
May 19, 2026Hoonhee Cho, Giwon Lee, Jae-Young Kang +3World Model Learning End-to-End Autonomous Driving
1All authors are with KAIST, Daejeon, Republic of Korea.
SHED: Style-Homogenized Embedding Alignment for Domain Generalization
May 16, 2026Kai Gan, Tong WeiVLM Robustness VLM Adaptation
School of Computer Science and Engineering, Southeast University, Nanjing 210096, China · Key Laboratory of Computer Network and Information Integration (Southeast University), Ministry of Education, China
DepthPolyp: Pseudo-Depth Guided Lightweight Segmentation for Real-Time Colonoscopy
May 15, 2026Zhuoyu Wu, Wenhui Ou, Lexi Zhang +5Endoscopy Image Segmentation
CyPhi AI Lab, Monash University, Malaysia Campus, Malaysia · Department of Electronic & Computer Engineering, Hong Kong University of Science & Technology, Hong Kong, P.R. China · Harbin Institute of Technology, Harbin, P.R. China +1
Generative Deep Learning for Computational Destaining and Restaining of Unregistered Digital Pathology Images
May 14, 2026Aarushi Kulkarni, Alarice Lowe, Pratik ShahComputational Pathology Domain Generalization
Department of Computer Science University of California Irvine, CA, USA · Department of Pathology Stanford University Stanford, CA, USA · Department of Pathology and Laboratory Medicine Biomedical Engineering Electrical Engineering and Computer Science University of California Irvine, CA, USA
A Multi-Probe Audit of Clinical-Interview Depression Detection Benchmarks
May 13, 2026Takehiro Ishikawa, Jon DukeDepression Detection Mental Health
College of Computing, Georgia Institute of Technology, Atlanta, GA, USA · Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, GA, USA
Learning to Select Source Domains: Proxy-Rewarded Policy Optimization for Molecular OOD Generalization
May 13, 2026Zhuohao Lin, Kun Li, Jiameng Chen +4Unsupervised Domain Adaptation Domain Adaptation
School of Computer Science Wuhan University Wuhan, China · College of Computer Science and Technology, Zhejiang University Hangzhou, China · School of Life Sciences and Technology, Tongji University Shanghai, 200092, China +1
What to Ignore, What to React: Visually Robust RL Fine-Tuning of VLA Models
May 13, 2026Yuanfang Peng, Jingjing Fu, Chuheng Zhang +6VLM Robustness Domain Generalization
1Hong Kong University of Science and Technology · 2Microsoft Research Asia · 3Zhejiang University
Enhancing Domain Generalization in 3D Human Pose Estimation through Controllable Generative Augmentation
May 12, 2026Xinhao Hu, Yiyi Zhang, Liqing Zhang +1Synthetic Data Augmentation Domain Generalization
School of Computer Science, Shanghai Jiao Tong University
Efficient and Adaptive Human Activity Recognition via LLM Backbones
May 12, 2026Aleksandr Bredikhin, Philippe Lalanda, German VegaHuman Activity Recognition Domain Generalization
Univ. Grenoble Alpes, France
Physics-Grounded Adversarial Stain Augmentation with Calibrated Coverage Guarantees
May 12, 2026Mingi HongData Augmentation Healthcare
434, Samseong-ro, Gangnam-gu, Seoul, Republic of Korea
Segment Anything with Robust Uncertainty-Accuracy Correlation
May 11, 2026Hongyou Zhou, Marc Toussaint, Ling Shao +1Image Segmentation Promptable Image Segmentation
Learning and Intelligent Systems, Technical University of Berlin, Berlin, Germany. · UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China.
Learning Graph Foundation Models on Riemannian Graph-of-Graphs
May 11, 2026Haokun Liu, Zezhong Ding, Xike XieGraph Representation Learning Domain Generalization
School of Biomedical Engineering, University of Science and Technology of China (USTC), Suzhou, Jiangsu, China · Data Darkness Lab, Suzhou Institute for Advanced Research, USTC, Suzhou, Jiangsu, China · School of Artificial Intelligence and Data Science, USTC, Hefei, Anhui, China
Frequency Adapter with SAM for Generalized Medical Image Segmentation
May 11, 2026Phuoc-Nguyen Bui, Van-Nguyen Pham, Duc-Tai Le +2Frequency-Domain Feature Learning Domain Generalization
Sungkyunkwan University, Korea
DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition
May 10, 2026Jiaying Lin, Shiman Wu, Jinfu Liu +2Human Activity Recognition Point Cloud Learning
State Key Laboratory of General Artificial Intelligence, Peking University, Shenzhen Graduate School, Shenzhen, China · Huazhong University of Science and Technology, Wuhan, China · DJI Technology Co., Ltd., Shenzhen, China +2
PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift
May 8, 2026Sangyoon Bae, Shinjae Yoo, Jiook ChaDomain Generalization Physics-Informed ML
Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul, South Korea, 08826 · Department of Psychology Seoul National University Seoul, South Korea, 08826
Decoupling Semantics and Fingerprints: A Universal Representation for AI-Generated Image Detection
May 8, 2026Zhiyuan Wang, Yanxiang Chen, Pengcheng Zhao +2Disentangled Representation Learning Domain Generalization
Hefei University of Technology · Key Laboratory of Knowledge Engineering with Big Data · Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education; School of Computer Science and Information Engineering, Hefei University of Technology; and Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology) +3
MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text
May 7, 2026Chenjun Li, Cheng Wan, Johannes C. PaetzoldAI-Generated Text Detection Domain Generalization
Cornell University, Ithaca, NY 14853, USA · Weill Cornell Medicine, New York, NY 10021, USA · Cornell Tech, New York, NY 10044, USA
Are We Making Progress in Multimodal Domain Generalization? A Comprehensive Benchmark Study
May 7, 2026Hao Dong, Hongzhao Li, Shupan Li +3Multimodal Robustness Domain Generalization
ETH Zürich · Zhengzhou University · MBZUAI +1
Learning beyond Site Bias for OOD Generalization in Brain Networks
May 7, 2026Yingxu Wang, Kunyu Zhang, Yanwu Yang +5Functional Connectivity Domain Generalization
Zhengzhou University · City University of Hong Kong

May 26, 2026, cs.CVJ/K move · Enter open · S save

Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning

Qida Tan, Hongyu Yang, Wenchao Du

National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China · College of Computer Science, Sichuan University, Chengdu, China

Contrastive Learning Gaze Estimation Disentangled Representation Learning Domain Generalization Semi-Supervised Learning

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Appearance-based gaze estimation always suffers from poor generalization due to limited annotated samples and insufficient dataset diversity. Leading approaches adopt weakly supervised learning to generate large-scale pseudo-labeled data from unconstrained real-world scenarios, aiming to mitigate the domain shifts. In this work, we devise a simple yet effective semi-supervised learning architecture that leverages unlabeled data to enhance domain generalization, thereby reducing reliance on labor-intensive manual annotations. Our key insight is to impose Jacobian regularization to disentangle feature representations into discriminative subspaces dedicated to specific gaze components, such as pitch and yaw angles. We further exploit the intrinsic ordinal ranking within each subspace for contrastive learning, enabling the model to learn robust gaze representations from a small set of labeled samples and an abundance of unlabeled ones. This ultimately yields our Disentangled Subspace Contrastive Learning (DSCL) framework. Extensive experiments on multiple benchmarks verify that the proposed DSCL is plug-and-play, achieving competitive performance using only 20%, 10%, and even 5% of the annotated data under both in-domain and cross-domain evaluation settings. The public code is available at https://github.com/da60266/DSCL.

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Latest papers 231