% Key papers for Convolution-transformer backbones (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_deep_11475,
  title = {{Deep Residual Learning for Image Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_mobilenetv2_13379,
  title = {{MobileNetV2: Inverted Residuals and Linear Bottlenecks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Sandler_MobileNetV2_Inverted_Residuals_CVPR_2018_paper.html},
}

@inproceedings{cvpr2018_non_13428,
  title = {{Non-Local Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Wang_Non-Local_Neural_Networks_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_rethinking_17752,
  title = {{Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_randaugment_60662,
  title = {{RandAugment: Practical Automated Data Augmentation with a Reduced Search Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18368},
}

@inproceedings{cvpr2019_deformable_14063,
  title = {{Deformable ConvNets V2: More Deformable, Better Results}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_geometric_12312,
  title = {{Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_dilated_12209,
  title = {{Dilated Residual Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_bag_13885,
  title = {{Bag of Tricks for Image Classification with Convolutional Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_bottleneck_16664,
  title = {{Bottleneck Transformers for Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_auto_13878,
  title = {{Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_dynamic_16918,
  title = {{Dynamic Head: Unifying Object Detection Heads With Attentions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2016_online_11742,
  title = {{Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{iclr2019_imagenet_28837,
  title = {{ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/697},
}

@inproceedings{cvpr2021_dense_16850,
  title = {{Dense Contrastive Learning for Self-Supervised Visual Pre-Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_espnetv2_14127,
  title = {{ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_diverse_16890,
  title = {{Diverse Branch Block: Building a Convolution as an Inception-Like Unit}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_improving_15681,
  title = {{Improving Convolutional Networks With Self-Calibrated Convolutions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2022_segnext_65119,
  title = {{SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55399},
}

@inproceedings{neurips2017_dual_56268,
  title = {{Dual Path Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9224},
}

@inproceedings{cvpr2025_overlock_27171,
  title = {{OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34823},
}

@inproceedings{cvpr2024_ptq4sam_24421,
  title = {{PTQ4SAM: Post-Training Quantization for Segment Anything}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29571},
}

@inproceedings{aaai2026_lwganet_104169,
  title = {{LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37698},
}

@inproceedings{cvpr2024_object_24325,
  title = {{Object Recognition as Next Token Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31732},
}

@inproceedings{neurips2024_revisiting_74247,
  title = {{Revisiting the Integration of Convolution and Attention for Vision Backbone}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93308},
}

@inproceedings{aaai2026_waveformer_107385,
  title = {{WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39737},
}

@inproceedings{aaai2024_semantic_7304,
  title = {{Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28296},
}

@inproceedings{iclr2025_iformer_80788,
  title = {{IFORMER: INTEGRATING CONVNET AND TRANSFORMER FOR MOBILE APPLICATION}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30980},
}

@inproceedings{neurips2024_denoiserep_71976,
  title = {{DenoiseRep: Denoising Model for Representation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95335},
}

@inproceedings{aaai2025_category_8393,
  title = {{Category Prompt Mamba Network for Nuclei Segmentation and Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33116},
}

@inproceedings{aaai2025_relaxed_10509,
  title = {{Relaxed Rotational Equivariance via G-Biases in Vision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32922},
}

@inproceedings{neurips2024_parameter_71853,
  title = {{Parameter-Inverted Image Pyramid Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95447},
}

@inproceedings{aaai2024_ddae_5554,
  title = {{DDAE: Towards Deep Dynamic Vision BERT Pretraining}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27864},
}

@inproceedings{aaai2024_one_6844,
  title = {{One Step Learning, One Step Review}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29159},
}

@inproceedings{aaai2024_reinforcement_7100,
  title = {{Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29428},
}

@inproceedings{aaai2025_dynamic_8842,
  title = {{Dynamic Clustering Convolutional Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34030},
}

@inproceedings{aaai2025_vfm_11213,
  title = {{VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32239},
}

@inproceedings{iclr2025_unip_82507,
  title = {{UNIP: Rethinking Pre-trained Attention Patterns for Infrared Semantic Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/32078},
}

@inproceedings{iclr2024_multi_35127,
  title = {{Multi-Scale Representations by Varying Window Attention for Semantic Segmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17946},
}

@inproceedings{icml2026_formalizing_49657,
  title = {{Formalizing the Binding Problem}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4SD5FCeIDu},
}