% Key papers for Local features and context in CNNs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_pyramid_12556,
  title = {{Pyramid Scene Parsing Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_learning_11656,
  title = {{Learning Deep Features for Discriminative Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2016_context_11446,
  title = {{Context Encoders: Feature Learning by Inpainting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2020_random_103893,
  title = {{Random Erasing Data Augmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/7000},
}

@inproceedings{cvpr2018_relation_13522,
  title = {{Relation Networks for Object Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Hu_Relation_Networks_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2017_look_12438,
  title = {{Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_inside_11616,
  title = {{Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2016_densecap_11490,
  title = {{DenseCap: Fully Convolutional Localization Networks for Dense Captioning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_d2_13995,
  title = {{D2-Net: A Trainable CNN for Joint Description and Detection of Local Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2018_spatial_104042,
  title = {{Spatial as Deep: Spatial CNN for Traffic Scene Understanding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12301},
}

@inproceedings{cvpr2017_ubernet_12710,
  title = {{Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_human_13192,
  title = {{Human Semantic Parsing for Person Re-Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kalayeh_Human_Semantic_Parsing_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_destruction_14077,
  title = {{Destruction and Construction Learning for Fine-Grained Image Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_looking_14482,
  title = {{Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_part_11758,
  title = {{Part-Stacked CNN for Fine-Grained Visual Categorization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_bi_13893,
  title = {{Bi-Directional Cascade Network for Perceptual Edge Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_deshadownet_12198,
  title = {{DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_interpreting_14329,
  title = {{Interpreting CNNs via Decision Trees}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2021_dual_473,
  title = {{Dual-level Collaborative Transformer for Image Captioning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/02286-dual-level-collaborative-transformer-for-image-captioning/},
}

@inproceedings{cvpr2016_spda_11830,
  title = {{SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_instance_23810,
  title = {{Instance-Adaptive and Geometric-Aware Keypoint Learning for Category-Level 6D Object Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31429},
}

@inproceedings{aaai2025_focus_9214,
  title = {{Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32811},
}

@inproceedings{aaai2024_towards_7595,
  title = {{Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29953},
}

@inproceedings{iclr2024_featup_34057,
  title = {{FeatUp: A Model-Agnostic Framework for Features at Any Resolution}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19018},
}

@inproceedings{cvpr2024_pixel_24471,
  title = {{Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31315},
}

@inproceedings{cvpr2024_no_24292,
  title = {{No More Ambiguity in 360deg Room Layout via Bi-Layout Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31130},
}

@inproceedings{cvpr2025_recurrent_27418,
  title = {{Recurrent Feature Mining and Keypoint Mixup Padding for Category-Agnostic Pose Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34385},
}

@inproceedings{aaai2024_painterly_6912,
  title = {{Painterly Image Harmonization by Learning from Painterly Objects}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28231},
}

@inproceedings{aaai2025_tensorized_10949,
  title = {{Tensorized Attention for Understanding Multi-Object Relationships}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34675},
}

@inproceedings{cvpr2024_eformer_23306,
  title = {{EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31058},
}

@inproceedings{icml2025_self_47005,
  title = {{Self-Bootstrapping for Versatile Test-Time Adaptation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45578},
}

@inproceedings{icml2026_worldcomp2d_52474,
  title = {{WorldComp2D: Spatio-semantic Representations of Object Identity and Location from Local Views}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=WQIyx69dFg},
}

@inproceedings{neurips2025_learning_78790,
  title = {{Learning Spatial-Aware Manipulation Ordering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=iM8154lJCx},
}

@inproceedings{neurips2025_ren_79551,
  title = {{REN: Fast and Efficient Region Encodings from Patch-Based Image Encoders}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=qXgGX081j3},
}

@inproceedings{iclr2025_mgmapnet_81353,
  title = {{MGMapNet: Multi-Granularity Representation Learning for End-to-End Vectorized HD Map Construction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30420},
}

@inproceedings{cvpr2026_multigrain_96089,
  title = {{Multigrain-aware Semantic Prototype Scanning and Tri-Token Prompt Learning Embraced High-Order RWKV for Pan-Sharpening}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_Multigrain-aware_Semantic_Prototype_Scanning_and_Tri-Token_Prompt_Learning_Embraced_High-Order_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_uplift_96593,
  title = {{UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Walmer_UPLiFT_Efficient_Pixel-Dense_Feature_Upsampling_with_Local_Attenders_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_hieramp_99306,
  title = {{HierAmp: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhao_HierAmp_Coarse-to-Fine_Autoregressive_Amplification_for_Generative_Dataset_Distillation_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_floorplanformer_104096,
  title = {{FloorPlanFormer: Multi-Task Transformer Network for Floor Plan Recognition with Outer-to-Inner Feature Refinement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37625},
}

@inproceedings{iclr2025_connectome_82039,
  title = {{Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29747},
}