% Key papers for Boundary-aware instance segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_masked_19318,
  title = {{Masked-Attention Mask Transformer for Universal Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_hybrid_14293,
  title = {{Hybrid Task Cascade for Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_instance_11617,
  title = {{Instance-Aware Semantic Segmentation via Multi-Task Network Cascades}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_pointrend_16047,
  title = {{PointRend: Image Segmentation As Rendering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_fully_12294,
  title = {{Fully Convolutional Instance-Aware Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_mask_14503,
  title = {{Mask Scoring R-CNN}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_centermask_15245,
  title = {{CenterMask: Real-Time Anchor-Free Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_polarmask_16048,
  title = {{PolarMask: Single Shot Instance Segmentation With Polar Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_blendmask_15201,
  title = {{BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_deep_12189,
  title = {{Deep Watershed Transform for Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2023_mask_21524,
  title = {{Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22154},
}

@inproceedings{neurips2020_solov2_60766,
  title = {{SOLOv2: Dynamic and Fast Instance Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17138},
}

@inproceedings{cvpr2021_boundary_16667,
  title = {{Boundary IoU: Improving Object-Centric Image Segmentation Evaluation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2018_masklab_13358,
  title = {{MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Chen_MaskLab_Instance_Segmentation_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_deep_15375,
  title = {{Deep Snake for Real-Time Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2017_end_12242,
  title = {{End-To-End Instance Segmentation With Recurrent Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_instance_14322,
  title = {{Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_instancecut_12359,
  title = {{InstanceCut: From Edges to Instances With MultiCut}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_pixelwise_12535,
  title = {{Pixelwise Instance Segmentation With a Dynamically Instantiated Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_toothnet_14919,
  title = {{ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2024_teeth_24969,
  title = {{Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30824},
}

@inproceedings{aaai2024_mobileinst_6657,
  title = {{MobileInst: Video Instance Segmentation on the Mobile}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28555},
}

@inproceedings{aaai2025_efficient_8900,
  title = {{Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32326},
}

@inproceedings{cvpr2025_foveated_26308,
  title = {{Foveated Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32485},
}

@inproceedings{cvpr2025_polarnext_27274,
  title = {{PolarNeXt: Rethink Instance Segmentation with Polar Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32901},
}

@inproceedings{aaai2025_every_9033,
  title = {{Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32408},
}

@inproceedings{aaai2025_robust_10581,
  title = {{Robust and Consistent Online Video Instance Segmentation via Instance Mask Propagation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32361},
}

@inproceedings{iclr2025_samrefiner_81688,
  title = {{SAMRefiner: Taming Segment Anything Model for Universal Mask Refinement}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30090},
}

@inproceedings{icml2025_the_47525,
  title = {{The Four Color Theorem for Cell Instance Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45071},
}

@inproceedings{iclr2025_training_83656,
  title = {{Training-Free Dataset Pruning for Instance Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28161},
}

@inproceedings{iclr2026_disco_84338,
  title = {{Disco: Densely-overlapping Cell Instance Segmentation via Adjacency-aware Collaborative Coloring}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=1W7RRQl3lH},
}

@inproceedings{aaai2026_fracsegmentator_104146,
  title = {{FracSegmentator: Fracture Instance Segmentation with Trauma-Prior-Guided Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37675},
}

@inproceedings{aaai2026_building_108835,
  title = {{Building Instance Segmentation for Dense Urban Settlements}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41187},
}

@inproceedings{icml2025_efdtr_48515,
  title = {{EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44105},
}

@inproceedings{cvpr2026_competitorformer_96747,
  title = {{CompetitorFormer: Mitigating Query Conflicts for 3D Instance Segmentation via Competitive Strategy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Wang_CompetitorFormer_Mitigating_Query_Conflicts_for_3D_Instance_Segmentation_via_Competitive_CVPR_2026_paper.html},
}