% Key papers for Pretext-task visual pre-training (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_self_19832,
  title = {{Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2020_generative_38252,
  title = {{Generative Pretraining From Pixels}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6739},
}

@inproceedings{cvpr2017_colorization_12113,
  title = {{Colorization as a Proxy Task for Visual Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_selflow_14786,
  title = {{SelFlow: Self-Supervised Learning of Optical Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_self_14794,
  title = {{Self-Supervised GANs via Auxiliary Rotation Loss}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2021_hr_699,
  title = {{HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02294-hr-depth-high-resolution-self-supervised-monocular-depth-estimation/},
}

@inproceedings{cvpr2020_on_15982,
  title = {{On the Uncertainty of Self-Supervised Monocular Depth Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_self_16211,
  title = {{Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_self_17848,
  title = {{Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_cross_12934,
  title = {{Cross-Domain Self-Supervised Multi-Task Feature Learning Using Synthetic Imagery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ren_Cross-Domain_Self-Supervised_Multi-Task_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_blind2unblind_18372,
  title = {{Blind2Unblind: Self-Supervised Image Denoising With Visible Blind Spots}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_learning_15801,
  title = {{Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_transmef_2878,
  title = {{TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework Using Self-Supervised Multi-Task Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02126-transmef-a-transformer-based-multi-exposure-image-fusion-framework-using-self-supervised-multi-task-learning/},
}

@inproceedings{cvpr2020_mast_15855,
  title = {{MAST: A Memory-Augmented Self-Supervised Tracker}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_modnet_2392,
  title = {{MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/01140-modnet-real-time-trimap-free-portrait-matting-via-objective-decomposition/},
}

@inproceedings{cvpr2020_just_15724,
  title = {{Just Go With the Flow: Self-Supervised Scene Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_beyond_20459,
  title = {{Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21487},
}

@inproceedings{cvpr2020_evolving_15497,
  title = {{Evolving Losses for Unsupervised Video Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_improvements_13216,
  title = {{Improvements to Context Based Self-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Mundhenk_Improvements_to_Context_CVPR_2018_paper.html},
}

@inproceedings{neurips2020_3d_59222,
  title = {{3D Self-Supervised Methods for Medical Imaging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17466},
}

@inproceedings{cvpr2024_voco_25257,
  title = {{VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29258},
}

@inproceedings{cvpr2024_transfer_25084,
  title = {{Transfer CLIP for Generalizable Image Denoising}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31724},
}

@inproceedings{cvpr2024_masked_24116,
  title = {{Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31565},
}

@inproceedings{cvpr2024_switchlight_24922,
  title = {{SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30147},
}

@inproceedings{cvpr2024_investigating_23841,
  title = {{Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30282},
}

@inproceedings{cvpr2024_lafs_23876,
  title = {{LAFS: Landmark-based Facial Self-supervised Learning for Face Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31233},
}

@inproceedings{cvpr2024_exploring_23410,
  title = {{Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30827},
}

@inproceedings{aaai2025_decoupled_8665,
  title = {{Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33155},
}

@inproceedings{cvpr2024_representing_24619,
  title = {{Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31332},
}

@inproceedings{aaai2024_ppea_6902,
  title = {{PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27927},
}

@inproceedings{aaai2025_arnet_7985,
  title = {{ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32417},
}

@inproceedings{cvpr2025_generalized_26408,
  title = {{Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33730},
}

@inproceedings{cvpr2025_voteflow_28135,
  title = {{VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33678},
}

@inproceedings{aaai2025_dualnet_8833,
  title = {{DualNet: Robust Self-Supervised Stereo Matching with Pseudo-Label Supervision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32882},
}

@inproceedings{cvpr2025_chexworld_25701,
  title = {{CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34038},
}

@inproceedings{cvpr2025_synthetic_27793,
  title = {{Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32403},
}

@inproceedings{aaai2025_accounting_7997,
  title = {{Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35253},
}

@inproceedings{cvpr2024_self_24785,
  title = {{Self-Supervised Dual Contouring}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30383},
}

@inproceedings{cvpr2025_ucm_27964,
  title = {{UCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33000},
}

@inproceedings{neurips2024_what_72020,
  title = {{What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95296},
}