% Key papers for Test-time adaptation of vision-language models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_real_14708,
  title = {{Real-Time Self-Adaptive Deep Stereo}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2022_parameter_19554,
  title = {{Parameter-Free Online Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_test_17991,
  title = {{Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_efficient_23340,
  title = {{Efficient Test-Time Adaptation of Vision-Language Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30197},
}

@inproceedings{neurips2019_fast_58266,
  title = {{Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14558},
}

@inproceedings{cvpr2022_mm_19294,
  title = {{MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_sketch3t_19889,
  title = {{Sketch3T: Test-Time Training for Zero-Shot SBIR}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_towards_20052,
  title = {{Towards Multi-Domain Single Image Dehazing via Test-Time Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2022_single_2754,
  title = {{Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01756-single-domain-generalization-in-medical-image-segmentation-via-test-time-adaptation-from-shape-dictionary/},
}

@inproceedings{cvpr2023_tta_22303,
  title = {{TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23207},
}

@inproceedings{cvpr2023_dynamically_20865,
  title = {{Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23291},
}

@inproceedings{cvpr2022_ev_18779,
  title = {{Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_exploring_5922,
  title = {{Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29569},
}

@inproceedings{aaai2022_generalizable_2146,
  title = {{Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00817-generalizable-person-re-identification-via-self-supervised-batch-norm-test-time-adaption/},
}

@inproceedings{aaai2024_heterogeneous_6200,
  title = {{Heterogeneous Test-Time Training for Multi-Modal Person Re-identification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28398},
}

@inproceedings{cvpr2024_gda_23545,
  title = {{GDA: Generalized Diffusion for Robust Test-time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31173},
}

@inproceedings{neurips2023_align_67319,
  title = {{Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72406},
}

@inproceedings{cvpr2024_nc_24242,
  title = {{NC-TTT: A Noise Constrastive Approach for Test-Time Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30036},
}

@inproceedings{neurips2021_test_62723,
  title = {{Test-Time Personalization with a Transformer for Human Pose Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26306},
}

@inproceedings{neurips2022_ost_65238,
  title = {{OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54934},
}

@inproceedings{aaai2024_robust_7178,
  title = {{Robust Test-Time Adaptation for Zero-Shot Prompt Tuning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29611},
}

@inproceedings{aaai2024_test_7525,
  title = {{Test-Time Personalization with Meta Prompt for Gaze Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28151},
}

@inproceedings{cvpr2024_fast_23454,
  title = {{Fast Adaptation for Human Pose Estimation via Meta-Optimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30340},
}

@inproceedings{cvpr2025_test_27842,
  title = {{Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33865},
}

@inproceedings{neurips2024_boostadapter_70787,
  title = {{BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96342},
}

@inproceedings{neurips2024_test_71888,
  title = {{Test-Time Dynamic Image Fusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95415},
}

@inproceedings{neurips2024_historical_72892,
  title = {{Historical Test-time Prompt Tuning for Vision Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94515},
}

@inproceedings{aaai2025_zero_11324,
  title = {{Zero-shot Depth Completion via Test-time Alignment with Affine-invariant Depth Prior}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32405},
}

@inproceedings{cvpr2025_free_26311,
  title = {{Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EM}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34801},
}

@inproceedings{neurips2025_cliptta_80103,
  title = {{CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=w9gEF4Iwtx},
}

@inproceedings{aaai2024_test_7523,
  title = {{Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28601},
}

@inproceedings{aaai2025_efficient_8901,
  title = {{Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32591},
}

@inproceedings{cvpr2025_hierarchical_26514,
  title = {{Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32985},
}

@inproceedings{neurips2025_mint_80313,
  title = {{Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common Corruptions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=yJpBVE4vfo},
}

@inproceedings{aaai2026_shedding_107107,
  title = {{Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39459},
}