% Key papers for Context modeling for semantic segmentation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_dual_14115,
  title = {{Dual Attention Network for Scene Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_refinenet_12575,
  title = {{RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_large_12384,
  title = {{Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_denseaspp_13002,
  title = {{DenseASPP for Semantic Segmentation in Street Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_DenseASPP_for_Semantic_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_context_12920,
  title = {{Context Encoding for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Context_Encoding_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_attention_11404,
  title = {{Attention to Scale: Scale-Aware Semantic Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2022_uctransnet_2896,
  title = {{UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/02441-uctransnet-rethinking-the-skip-connections-in-u-net-from-a-channel-wise-perspective-with-transformer/},
}

@inproceedings{cvpr2018_learning_13308,
  title = {{Learning a Discriminative Feature Network for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yu_Learning_a_Discriminative_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_efficient_11517,
  title = {{Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_rethinking_17748,
  title = {{Rethinking BiSeNet for Real-Time Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2023_pidnet_21810,
  title = {{PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21302},
}

@inproceedings{cvpr2019_dfanet_14000,
  title = {{DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_structured_14881,
  title = {{Structured Knowledge Distillation for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_full_12293,
  title = {{Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_dcan_11460,
  title = {{DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_adaptive_13826,
  title = {{Adaptive Pyramid Context Network for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_context_12918,
  title = {{Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ding_Context_Contrasted_Feature_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_improving_14313,
  title = {{Improving Semantic Segmentation via Video Propagation and Label Relaxation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_semantic_11848,
  title = {{Semantic Image Segmentation With Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_rethinking_19726,
  title = {{Rethinking Semantic Segmentation: A Prototype View}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2024_sctnet_7211,
  title = {{SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28457},
}

@inproceedings{cvpr2024_frequency_23513,
  title = {{Frequency-Adaptive Dilated Convolution for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30701},
}

@inproceedings{cvpr2024_putting_24546,
  title = {{Putting the Object Back into Video Object Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31438},
}

@inproceedings{cvpr2024_sed_24700,
  title = {{SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31675},
}

@inproceedings{cvpr2025_segman_27615,
  title = {{SegMAN: Omni-scale Context Modeling with State Space Models and Local Attention for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33260},
}

@inproceedings{cvpr2025_scsegamba_27508,
  title = {{SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in Structures}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34420},
}

@inproceedings{cvpr2024_pem_24402,
  title = {{PEM: Prototype-based Efficient MaskFormer for Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30870},
}

@inproceedings{cvpr2025_golden_26446,
  title = {{Golden Cudgel Network for Real-Time Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34807},
}

@inproceedings{cvpr2024_contextrast_23028,
  title = {{Contextrast: Contextual Contrastive Learning for Semantic Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30925},
}

@inproceedings{aaai2024_polyper_6967,
  title = {{Polyper: Boundary Sensitive Polyp Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28274},
}

@inproceedings{cvpr2025_nnwnet_28192,
  title = {{nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33191},
}

@inproceedings{cvpr2024_mind_24145,
  title = {{Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31669},
}

@inproceedings{aaai2025_ultra_11132,
  title = {{Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32761},
}

@inproceedings{cvpr2024_multi_24220,
  title = {{Multi-view Aggregation Network for Dichotomous Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29916},
}

@inproceedings{aaai2025_semstereo_10724,
  title = {{SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33730},
}

@inproceedings{cvpr2025_cob_25659,
  title = {{COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32678},
}

@inproceedings{cvpr2024_contextseg_23027,
  title = {{ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29745},
}

@inproceedings{aaai2024_nama_6738,
  title = {{NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28215},
}

@inproceedings{cvpr2025_boosting_25611,
  title = {{Boosting the Dual-Stream Architecture in Ultra-High Resolution Segmentation with Resolution-Biased Uncertainty Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33677},
}

@inproceedings{neurips2024_aucseg_73183,
  title = {{AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94250},
}