Overview

Domain generalization studies how models trained on one or more source environments can make reliable predictions when data shift across hospitals, cameras, sensors, users, locations, or time. Common approaches include learning invariant or disentangled features, causal modeling, adversarial and style-based augmentation, and adapting pretrained models with prompts, adapters, or mixtures of experts. Evaluation often uses leave-one-domain-out and cross-dataset tests, including benchmarks such as PACS and OfficeHome, alongside domain-specific measures of calibration and robustness. A central tension is that enforcing invariance can discard useful information or cause negative transfer, while many proposed methods offer only modest gains over empirical risk minimization and may not reflect deployment conditions.

Latest papers

CardsList

376 papers37 papers in the last four weeks, level with the four weeks before. 0.2% of all new papers.

  1. FGML-DG: Feynman-Inspired Cognitive Science Paradigm for Cross-Domain Medical Image Segmentation

    Apr 12, 2026Yucheng Song, Chenxi Li, Haokang Ding +2Domain GeneralizationCross-Domain Generalization

  2. Context Matters: Vision-Based Depression Detection Comparing Classical and Deep Approaches

    Apr 11, 2026Maneesh Bilalpur, Saurabh Hinduja, Sonish Sivarajkumar +4Depression DetectionDomain Generalization

  3. Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels

    Apr 11, 2026Kening Wang, Di Wen, Yufan Chen +6Sleep Stage ClassificationDomain Generalization

  4. Improving Pediatric Emergency Department Triage with Modality Dropout in Late Fusion Multimodal EHR Models

    Apr 10, 2026Tyler Yang, Romal MitrClinical TriageHealthcare

  5. Continual Distillation of Teachers from Different Domains

    Apr 10, 2026Nicolas Michel, Maorong Wang, Jiangpeng He +1Knowledge DistillationCatastrophic Forgetting

  6. Domain-generalizable Face Anti-Spoofing with Patch-based Multi-tasking and Artifact Pattern Conversion

    Apr 10, 2026Seungjin Jung, Yonghyun Jeong, Minha Kim +3Face Anti-SpoofingDomain Generalization

  7. Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities

    Apr 9, 2026Jingtong Dou, Chuancheng Shi, Jian Wang +3Multimodal Deepfake DetectionMultimodal Domain Generalization

  8. Multiple Domain Generalization Using Category Information Independent of Domain Differences

    Apr 8, 2026Reiji Saito, Kazuhiro HottaDomain GeneralizationCross-Domain Generalization

  9. Evaluation of Randomization through Style Transfer for Enhanced Domain Generalization

    Apr 7, 2026Dustin Eisenhardt, Timothy Schaumlöffel, Alperen Kantarci +1Domain GeneralizationCross-Domain Generalization

  10. CRISP: Rank-Guided Iterative Squeezing for Robust Medical Image Segmentation under Domain Shift

    Apr 7, 2026Yizhou Fang, Pujin Cheng, Yixiang Liu +2Image SegmentationMedical Image Segmentation

  11. LUMOS: Universal Semi-Supervised OCT Retinal Layer Segmentation with Hierarchical Reliable Mutual Learning

    Apr 7, 2026Yizhou Fang, Jian Zhong, Li Lin +1Semi-Supervised Medical Image SegmentationMedical Image Segmentation

  12. Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model

    Apr 7, 2026Yangmeng Li, Kei Sano, Toshihiro Kitao +4Anomaly DetectionIndustrial Anomaly Detection

  13. HorizonWeaver: Generalizable Multi-Level Semantic Editing for Driving Scenes

    Apr 6, 2026Mauricio Soroco, Francesco Pittaluga, Zaid Tasneem +5Text-Guided Image EditingAutonomous Driving Scenario Generation

  14. Context is All You Need

    Apr 6, 2026Jean Erik Delanois, Shruti Joshi, Ryan Golden +2Neural Network RobustnessTest-Time Adaptation

  15. Robust Multi-Source Covid-19 Detection in CT Images

    Apr 2, 2026Asmita Yuki Pritha, Jason Xu, Daniel Ding +4Medical Image ClassificationDomain Generalization

  16. Multicentric thrombus segmentation using an attention-based recurrent network with gradual modality dropout

    Apr 1, 2026Sofia Vargas-Ibarra, Vincent Vigneron, Hichem Maaref +1Medical Image Segmentation3D Medical Image Segmentation

  17. PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction

    Mar 31, 2026Xiao Qian, Shangjia DongDomain GeneralizationMixture-of-Experts Models

  18. Domain-Invariant Prompt Learning for Vision-Language Models

    Mar 30, 2026Arsham Gholamzadeh Khoee, Yinan Yu, Robert FeldtVLM AdaptationVisual Prompt Learning

  19. Decoupling Wavelet Sub-bands for Single Source Domain Generalization in Fundus Image Segmentation

    Mar 30, 2026Shramana Dey, Varun Ajith, Abhirup Banerjee +1Optic Disc SegmentationDomain Generalization

  20. Hg-I2P: Bridging Modalities for Generalizable Image-to-Point-Cloud Registration via Heterogeneous Graphs

    Mar 30, 2026Pei An, Junfeng Ding, Jiaqi Yang +32D-3D Image RegistrationPoint Cloud Registration

  21. Towards Intrinsic-Aware Monocular 3D Object Detection

    Mar 28, 2026Zhihao Zhang, Abhinav Kumar, Xiaoming Liu3D Object DetectionMonocular 3D Object Detection

  22. Real-time Appearance-based Gaze Estimation for Open Domains

    Mar 27, 2026Zhenhao Li, Zheng Liu, Seunghyun Lee +2Gaze EstimationDomain Generalization

  23. Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)

    Mar 27, 2026Randy C. Hoover, Jacob James, Paul May +1Extended Dynamic Mode DecompositionDrifting Models

  24. An Experimental Comparison of the Most Popular Approaches to Fake News Detection

    Mar 26, 2026Pietro Dell'Oglio, Alessandro Bondielli, Francesco Marcelloni +1Fake News DetectionDomain Generalization

  25. CIV-DG: Conditional Instrumental Variables for Domain Generalization in Medical Imaging

    Mar 26, 2026Shaojin Bai, Yuting Su, Weizhi NieDomain GeneralizationCross-Domain Generalization

  26. Is Geometry Enough? An Evaluation of Landmark-Based Gaze Estimation

    Mar 25, 2026Daniele Agostinelli, Thomas Agostinelli, Andrea Generosi +1Gaze EstimationDomain Generalization