% Key papers for Foundation-model domain generalization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2020_single_16247,
  title = {{Single-Side Domain Generalization for Face Anti-Spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_fsdr_16996,
  title = {{FSDR: Frequency Space Domain Randomization for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_causality_18448,
  title = {{Causality Inspired Representation Learning for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_progressive_17658,
  title = {{Progressive Domain Expansion Network for Single Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_generalizable_661,
  title = {{Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/01132-generalizable-representation-learning-for-mixture-domain-face-anti-spoofing/},
}

@inproceedings{cvpr2023_sharpness_22196,
  title = {{Sharpness-Aware Gradient Matching for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22864},
}

@inproceedings{aaai2023_rethinking_4518,
  title = {{Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25332},
}

@inproceedings{aaai2021_self_1351,
  title = {{Self-Domain Adaptation for Face Anti-Spoofing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02746-self-domain-adaptation-for-face-anti-spoofing/},
}

@inproceedings{cvpr2023_instance_21258,
  title = {{Instance-Aware Domain Generalization for Face Anti-Spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23280},
}

@inproceedings{cvpr2023_aloft_20319,
  title = {{ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22772},
}

@inproceedings{neurips2021_exploiting_62669,
  title = {{Exploiting Domain-Specific Features to Enhance Domain Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27747},
}

@inproceedings{cvpr2023_decompose_20724,
  title = {{Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22419},
}

@inproceedings{cvpr2022_compound_18489,
  title = {{Compound Domain Generalization via Meta-Knowledge Encoding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_towards_20067,
  title = {{Towards Unsupervised Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_gradient_23638,
  title = {{Gradient Alignment for Cross-Domain Face Anti-Spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29192},
}

@inproceedings{cvpr2022_localized_19268,
  title = {{Localized Adversarial Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2024_single_24824,
  title = {{Single Domain Generalization for Crowd Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30838},
}

@inproceedings{cvpr2024_disentangled_23230,
  title = {{Disentangled Prompt Representation for Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29375},
}

@inproceedings{neurips2023_madg_69773,
  title = {{MADG: Margin-based Adversarial Learning for Domain Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70169},
}

@inproceedings{aaai2024_advst_5140,
  title = {{AdvST: Revisiting Data Augmentations for Single Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30184},
}

@inproceedings{cvpr2024_practicaldg_24503,
  title = {{PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31781},
}

@inproceedings{cvpr2025_domain_25992,
  title = {{Domain Generalization in CLIP via Learning with Diverse Text Prompts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33717},
}

@inproceedings{cvpr2025_soma_27699,
  title = {{SoMA: Singular Value Decomposed Minor Components Adaptation for Domain Generalizable Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34157},
}

@inproceedings{aaai2024_sharpness_7332,
  title = {{Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29431},
}

@inproceedings{aaai2024_mixup_6654,
  title = {{Mixup-Induced Domain Extrapolation for Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28994},
}

@inproceedings{cvpr2024_a2xp_22674,
  title = {{A2XP: Towards Private Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29268},
}

@inproceedings{aaai2025_learning_9732,
  title = {{Learning Fine-grained Domain Generalization via Hyperbolic State Space Hallucination}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32180},
}

@inproceedings{icml2024_a_43297,
  title = {{A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35155},
}

@inproceedings{aaai2025_domclp_8796,
  title = {{DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33993},
}

@inproceedings{neurips2024_advancing_71044,
  title = {{Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96166},
}

@inproceedings{aaai2025_perturbating_10293,
  title = {{Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32571},
}

@inproceedings{iclr2024_unknown_34851,
  title = {{Unknown Domain Inconsistency Minimization for Domain Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18223},
}

@inproceedings{neurips2024_lfme_72248,
  title = {{LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95095},
}

@inproceedings{aaai2026_balancing_107104,
  title = {{Balancing Multimodal Domain Generalization via Gradient Modulation and Projection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39456},
}

@inproceedings{aaai2026_the_107531,
  title = {{The Finer the Better: Towards Granular-aware Open-set Domain Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39883},
}

@inproceedings{icml2024_stydesty_43813,
  title = {{StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34639},
}