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

@inproceedings{cvpr2020_strip_16289,
  title = {{Strip Pooling: Rethinking Spatial Pooling for Scene Parsing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_context_13966,
  title = {{Context-Aware Crowd Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_global_14253,
  title = {{Global Second-Order Pooling Convolutional Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_low_12441,
  title = {{Low-Rank Bilinear Pooling for Fine-Grained Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_kernel_12375,
  title = {{Kernel Pooling for Convolutional Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_detail_13011,
  title = {{Detail-Preserving Pooling in Deep Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Saeedan_Detail-Preserving_Pooling_in_CVPR_2018_paper.html},
}

@inproceedings{iclr2018_wavelet_28702,
  title = {{Wavelet Pooling for Convolutional Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/262},
}

@inproceedings{aaai2018_top_104031,
  title = {{Top-Down Feedback for Crowd Counting Convolutional Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12290},
}

@inproceedings{cvpr2017_s3pool_12593,
  title = {{S3Pool: Pooling With Stochastic Spatial Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2019_deep_58103,
  title = {{Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14178},
}

@inproceedings{cvpr2018_monet_13377,
  title = {{MoNet: Moments Embedding Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Gou_MoNet_Moments_Embedding_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_spatially_16270,
  title = {{Spatially Attentive Output Layer for Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2020_rnnpool_60660,
  title = {{RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16876},
}

@inproceedings{cvpr2017_viraliency_12742,
  title = {{Viraliency: Pooling Local Virality}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2021_fast_604,
  title = {{Fast and Compact Bilinear Pooling by Shifted Random Maclaurin}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03243-fast-and-compact-bilinear-pooling-by-shifted-random-maclaurin/},
}

@inproceedings{aaai2022_efficient_2017,
  title = {{Efficient Compact Bilinear Pooling via Kronecker Product}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03170-efficient-compact-bilinear-pooling-via-kronecker-product/},
}

@inproceedings{cvpr2022_pooling_19603,
  title = {{Pooling Revisited: Your Receptive Field Is Suboptimal}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_long_21460,
  title = {{Long Range Pooling for 3D Large-Scale Scene Understanding}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22570},
}

@inproceedings{neurips2022_dropcov_64881,
  title = {{DropCov: A Simple yet Effective Method for Improving Deep Architectures}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55184},
}

@inproceedings{icml2024_stacking_44176,
  title = {{Stacking Deep Set Networks and Pooling by Quantiles}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34276},
}