% Key papers for Siamese network tracking (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_high_13186,
  title = {{High Performance Visual Tracking With Siamese Region Proposal Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_High_Performance_Visual_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_fast_14193,
  title = {{Fast Online Object Tracking and Segmentation: A Unifying Approach}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_siamese_16239,
  title = {{Siamese Box Adaptive Network for Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_siamcar_16238,
  title = {{SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2020_siamfc_103837,
  title = {{SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6944},
}

@inproceedings{cvpr2016_hedged_11585,
  title = {{Hedged Deep Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_a_12810,
  title = {{A Twofold Siamese Network for Real-Time Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/He_A_Twofold_Siamese_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_learning_13265,
  title = {{Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Learning_Attentions_Residual_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_vital_13694,
  title = {{VITAL: VIsual Tracking via Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Song_VITAL_VIsual_Tracking_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_graph_17088,
  title = {{Graph Attention Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_siamese_14825,
  title = {{Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_deformable_15392,
  title = {{Deformable Siamese Attention Networks for Visual Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_seqtrack_22184,
  title = {{SeqTrack: Sequence to Sequence Learning for Visual Object Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22603},
}

@inproceedings{cvpr2019_target_14898,
  title = {{Target-Aware Deep Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_stmtrack_17813,
  title = {{STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2016_learning_55836,
  title = {{Learning feed-forward one-shot learners}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7290},
}

@inproceedings{cvpr2016_visual_11960,
  title = {{Visual Tracking Using Attention-Modulated Disintegration and Integration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_correlation_18534,
  title = {{Correlation-Aware Deep Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_learning_17309,
  title = {{Learning To Filter: Siamese Relation Network for Robust Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_learning_17310,
  title = {{Learning To Fuse Asymmetric Feature Maps in Siamese Trackers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2025_two_11121,
  title = {{Two-stream Beats One-stream: Asymmetric Siamese Network for Efficient Visual Tracking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33191},
}

@inproceedings{aaai2024_learning_6476,
  title = {{Learning Random Noise Salient Feature Fusion Siamese Network for Low-Resolution Object Tracking (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30500},
}