% Key papers for Cross-domain few-shot with transformers (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_learning_11663,
  title = {{Learning Multi-Domain Convolutional Neural Networks for Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_invariance_14330,
  title = {{Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_transferable_13667,
  title = {{Transferable Joint Attribute-Identity Deep Learning for Unsupervised 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/Wang_Transferable_Joint_Attribute-Identity_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_large_13256,
  title = {{Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Cui_Large_Scale_Fine-Grained_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_detecting_18654,
  title = {{Detecting Deepfakes With Self-Blended Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_adaptive_13827,
  title = {{Adaptive Transfer Network for Cross-Domain Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_ad_15095,
  title = {{AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_cross_18544,
  title = {{Cross-Domain Adaptive Teacher for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_few_17018,
  title = {{Few-Shot Image Generation via Cross-Domain Correspondence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_group_17096,
  title = {{Group-aware Label Transfer for Domain Adaptive Person Re-identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_cross_15306,
  title = {{Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_unsupervised_13681,
  title = {{Unsupervised Cross-Dataset Person Re-Identification by Transfer Learning of Spatial-Temporal Patterns}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Lv_Unsupervised_Cross-Dataset_Person_CVPR_2018_paper.html},
}

@inproceedings{aaai2019_depthwise_103455,
  title = {{Depthwise Convolution Is All You Need for Learning Multiple Visual Domains}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4851},
}

@inproceedings{cvpr2022_qs_19645,
  title = {{QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_detach_13010,
  title = {{Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Liu_Detach_and_Adapt_CVPR_2018_paper.html},
}

@inproceedings{neurips2018_one_57471,
  title = {{One-Shot Unsupervised Cross Domain Translation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11222},
}

@inproceedings{neurips2018_a_56818,
  title = {{A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11267},
}

@inproceedings{aaai2022_secret_2673,
  title = {{SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00879-secret-self-consistent-pseudo-label-refinement-for-unsupervised-domain-adaptive-person-re-identification/},
}

@inproceedings{cvpr2020_learning_15767,
  title = {{Learning Invariant Representation for Unsupervised Image Restoration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_styleadv_22275,
  title = {{StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21945},
}

@inproceedings{cvpr2024_day_23113,
  title = {{Day-Night Cross-domain Vehicle Re-identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30038},
}

@inproceedings{aaai2024_learning_6456,
  title = {{Learning Generalized Medical Image Segmentation from Decoupled Feature Queries}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27839},
}

@inproceedings{aaai2025_famnet_9099,
  title = {{FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32184},
}

@inproceedings{cvpr2024_flatten_23481,
  title = {{Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31738},
}

@inproceedings{cvpr2024_eventdance_23397,
  title = {{EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30507},
}

@inproceedings{cvpr2024_from_23520,
  title = {{From Feature to Gaze: A Generalizable Replacement of Linear Layer for Gaze Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30094},
}

@inproceedings{cvpr2025_large_26719,
  title = {{Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34141},
}

@inproceedings{neurips2024_attention_73868,
  title = {{Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93641},
}

@inproceedings{aaai2024_leveraging_6525,
  title = {{Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29573},
}

@inproceedings{neurips2024_a_74015,
  title = {{A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93505},
}

@inproceedings{aaai2025_reconstruction_10484,
  title = {{Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34125},
}

@inproceedings{cvpr2025_dual_26022,
  title = {{Dual-Agent Optimization framework for Cross-Domain Few-Shot Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32917},
}

@inproceedings{aaai2025_svasp_10655,
  title = {{SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33676},
}

@inproceedings{cvpr2025_eventfly_26169,
  title = {{EventFly: Event Camera Perception from Ground to the Sky}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33828},
}

@inproceedings{cvpr2025_optimal_27164,
  title = {{Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32641},
}

@inproceedings{aaai2024_sparse_7376,
  title = {{Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28008},
}

@inproceedings{cvpr2024_a_22641,
  title = {{A Bayesian Approach to OOD Robustness in Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29412},
}

@inproceedings{cvpr2025_the_27855,
  title = {{The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34833},
}

@inproceedings{cvpr2025_knowledge_26684,
  title = {{Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34028},
}

@inproceedings{cvpr2025_osmamba_27102,
  title = {{OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32704},
}