% Key papers for Domain-generalized segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_dlow_14001,
  title = {{DLOW: Domain Flow for Adaptation and Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_fully_13134,
  title = {{Fully Convolutional Adaptation Networks for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Fully_Convolutional_Adaptation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_conditional_12912,
  title = {{Conditional Generative Adversarial Network for Structured Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Hong_Conditional_Generative_Adversarial_CVPR_2018_paper.html},
}

@inproceedings{icml2018_augmented_36529,
  title = {{Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2408},
}

@inproceedings{cvpr2022_wildnet_20227,
  title = {{WildNet: Learning Domain Generalized Semantic Segmentation From the Wild}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_not_14580,
  title = {{Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_pin_19580,
  title = {{Pin the Memory: Learning To Generalize Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2019_self_101785,
  title = {{Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4500},
}

@inproceedings{cvpr2022_both_18386,
  title = {{Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_generalizing_15594,
  title = {{Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2018_neural_105899,
  title = {{Neural Networks Incorporating Dictionaries for Chinese Word Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11959},
}

@inproceedings{cvpr2023_single_22212,
  title = {{Single Domain Generalization for LiDAR Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22020},
}

@inproceedings{cvpr2022_remember_19706,
  title = {{Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_adversarial_65858,
  title = {{Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55382},
}

@inproceedings{cvpr2024_domain_23252,
  title = {{Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31263},
}

@inproceedings{cvpr2024_style_24907,
  title = {{Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30437},
}

@inproceedings{cvpr2024_unimix_25130,
  title = {{UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31063},
}

@inproceedings{aaai2024_learning_6457,
  title = {{Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27838},
}

@inproceedings{iclr2019_spigan_29194,
  title = {{SPIGAN: Privileged Adversarial Learning from Simulation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/779},
}

@inproceedings{neurips2024_learning_72899,
  title = {{Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94511},
}

@inproceedings{cvpr2025_fishertune_26272,
  title = {{FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32609},
}

@inproceedings{cvpr2024_mrfp_24079,
  title = {{MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29708},
}

@inproceedings{aaai2024_parsing_6927,
  title = {{Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29251},
}

@inproceedings{aaai2025_exploring_9079,
  title = {{Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32668},
}

@inproceedings{cvpr2025_nightadapter_27069,
  title = {{NightAdapter: Learning a Frequency Adapter for Generalizable Night-time Scene Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35097},
}

@inproceedings{cvpr2024_hpl_23672,
  title = {{HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29370},
}

@inproceedings{neurips2024_lightweight_71328,
  title = {{Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95919},
}

@inproceedings{neurips2024_connectivity_72444,
  title = {{Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94913},
}

@inproceedings{aaai2026_earth_100758,
  title = {{Earth-Adapter: Bridge the Geospatial Domain Gaps with a Frequency-Guided Mixture of Adapters}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42498},
}

@inproceedings{aaai2026_causal_105534,
  title = {{Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38290},
}

@inproceedings{icml2024_hyperbolic_45053,
  title = {{Hyperbolic Active Learning for Semantic Segmentation under Domain Shift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33399},
}

@inproceedings{aaai2026_bridging_102625,
  title = {{Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37570},
}

@inproceedings{aaai2026_bridging_104352,
  title = {{Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37879},
}

@inproceedings{cvpr2026_cross_96375,
  title = {{Cross-Domain Few-Shot Segmentation via Multi-view Progressive Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Nie_Cross-Domain_Few-Shot_Segmentation_via_Multi-view_Progressive_Adaptation_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_open_98256,
  title = {{Open-Vocabulary Domain Generalization in Urban-Scene Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhao_Open-Vocabulary_Domain_Generalization_in_Urban-Scene_Segmentation_CVPR_2026_paper.html},
}