% Key papers for Geometric alignment and synthetic-to-real adaptation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_image_13212,
  title = {{Image-Image Domain Adaptation With Preserved Self-Similarity and Domain-Dissimilarity for Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Deng_Image-Image_Domain_Adaptation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_joint_12368,
  title = {{Joint Geometrical and Statistical Alignment for Visual Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{iclr2020_mutual_29798,
  title = {{Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rJlnOhVYPS},
}

@inproceedings{cvpr2018_real_13501,
  title = {{Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Atapour-Abarghouei_Real-Time_Monocular_Depth_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_geometry_14251,
  title = {{Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_adadepth_12823,
  title = {{AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kundu_AdaDepth_Unsupervised_content_cvpr_2018_paper.html},
}

@inproceedings{cvpr2022_shift_19770,
  title = {{SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_automatic_13881,
  title = {{Automatic Adaptation of Object Detectors to New Domains Using Self-Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2020_asymmetric_103843,
  title = {{Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6950},
}

@inproceedings{cvpr2019_deep_14017,
  title = {{Deep Defocus Map Estimation Using Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_few_14210,
  title = {{Few-Shot Adaptive Faster R-CNN}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_contrastive_20652,
  title = {{Contrastive Mean Teacher for Domain Adaptive Object Detectors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21268},
}

@inproceedings{cvpr2022_unsupervised_20140,
  title = {{Unsupervised Domain Adaptation for Nighttime Aerial Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_leveraging_14462,
  title = {{Leveraging Crowdsourced GPS Data for Road Extraction From Aerial Imagery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_action_15108,
  title = {{Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_improving_14311,
  title = {{Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_contrastive_18525,
  title = {{Contrastive Regression for Domain Adaptation on Gaze Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_distant_14094,
  title = {{Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_learning_14433,
  title = {{Learning to Adapt for Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_from_17044,
  title = {{From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_cat_22903,
  title = {{CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29692},
}

@inproceedings{aaai2024_mean_6616,
  title = {{Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28405},
}

@inproceedings{cvpr2024_bridging_22880,
  title = {{Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29536},
}

@inproceedings{cvpr2024_uncertainty_25116,
  title = {{Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29538},
}

@inproceedings{aaai2024_towards_7602,
  title = {{Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29400},
}

@inproceedings{aaai2025_bridge_8307,
  title = {{Bridge Then Begin Anew: Generating Target-Relevant Intermediate Model for Source-Free Visual Emotion Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32160},
}

@inproceedings{cvpr2024_nightcc_24291,
  title = {{NightCC: Nighttime Color Constancy via Adaptive Channel Masking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29249},
}

@inproceedings{aaai2025_few_9187,
  title = {{Few-Shot Domain Adaptation for Learned Image Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33100},
}

@inproceedings{neurips2024_ioda_74039,
  title = {{IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93485},
}

@inproceedings{aaai2026_domain_100695,
  title = {{Domain Adaptation Guided Infrared and Visible Image Fusion}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/42435},
}

@inproceedings{aaai2026_dynamic_102573,
  title = {{Dynamic-Static Collaboration for Unsupervised Domain Adaptive Video-Based Visible-Infrared Person Re-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37518},
}

@inproceedings{aaai2026_anchor_105539,
  title = {{Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38295},
}

@inproceedings{iclr2024_alice_35551,
  title = {{Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17522},
}

@inproceedings{aaai2026_bipartite_106341,
  title = {{Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38648},
}

@inproceedings{iclr2024_source_34548,
  title = {{Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18526},
}

@inproceedings{iclr2024_augcal_34593,
  title = {{AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18481},
}

@inproceedings{aaai2026_cia_104110,
  title = {{CIA: Cluster-Instance Alignment for Unsupervised Day-Night Vehicle Re-Identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37639},
}

@inproceedings{aaai2026_graph_105651,
  title = {{Graph-Driven Domain Co-Adaptation for Cross-Domain Image Quality Assessment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38407},
}

@inproceedings{aaai2025_image_9506,
  title = {{Image-to-video Adaptation with Outlier Modeling and Robust Self-learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34471},
}

@inproceedings{iclr2024_exploring_33701,
  title = {{Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19374},
}