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  title={Air pollution},
  author={World Health Organization},
  journal={WHO Fact Sheet},
  year={2020},
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}

@article{Cohen2017,
  title={Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015},
  author={Cohen, Aaron J and Brauer, Michael and Burnett, Richard and Anderson, Heather R and Frostad, Joseph and Estep, Kara and Balakrishnan, Kalpana and Brunekreef, Bert and Dandona, Lalit and Dandona, Rakhi and others},
  journal={The Lancet},
  volume={389},
  number={10082},
  pages={1907--1918},
  year={2017},
  publisher={Elsevier}
}

@inproceedings{Howard2019,
  title={Searching for MobileNetV3},
  author={Howard, Andrew and Sandler, Mark and Chen, Bo and Wang, Weijun and Chen, Yukun and Tan, Mingxing and Chu, Quoc V Le and Adam, Hartwig},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={1314--1324},
  year={2019}
}

@inproceedings{Huang2019,
  title={Deep Haze Estimation With Convolutional Neural Network for Air Quality Monitoring from Images},
  author={Huang, Jun and Yang, Xin and Zheng, Zhixiong and Li, Min},
  booktitle={2019 IEEE International Conference on Multimedia and Expo (ICME)},
  pages={1066--1071},
  year={2019},
  organization={IEEE}
}

@article{Li2021,
  title={Smog level prediction from webcam images using deep learning},
  author={Li, Chen and Zhang, Wei and Sun, Jian},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  volume={22},
  number={8},
  pages={5091--5100},
  year={2021},
  publisher={IEEE}
}

@inproceedings{Guo2017,
  title={On Calibration of Modern Neural Networks},
  author={Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q},
  booktitle={Proceedings of the 34th International Conference on Machine Learning},
  pages={1321--1330},
  year={2017},
  organization={PMLR}
}

@inproceedings{Selvaraju2017,
  title={Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization},
  author={Selvaraju, Ramprasaath R and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv},
  booktitle={2017 IEEE International Conference on Computer Vision (ICCV)},
  pages={618--626},
  year={2017},
  organization={IEEE}
}

@inproceedings{Howard2019,
  title        = {Searching for MobileNetV3},
  author       = {Andrew Howard and Mark Sandler and Grace Chu and Liang-Chieh Chen and Bo Chen and Mingxing Tan and Weijun Wang and Yukun Zhu and Ruoming Pang and Vijay Vasudevan and Quoc V. Le and Hartwig Adam},
  booktitle    = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year         = {2019},
  pages        = {1314--1324},
  url          = {https://openaccess.thecvf.com/content_ICCV_2019/papers/Howard_Searching_for_MobileNetV3_ICCV_2019_paper.pdf}
}

@inproceedings{Sandler2018,
  title        = {MobileNetV2: Inverted Residuals and Linear Bottlenecks},
  author       = {Mark Sandler and Andrew Howard and Menglong Zhu and Andrey Zhmoginov and Liang-Chieh Chen},
  booktitle    = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year         = {2018},
  pages        = {4510--4520},
  url          = {https://openaccess.thecvf.com/content_cvpr_2018/papers/Sandler_MobileNetV2_Inverted_Residuals_CVPR_2018_paper.pdf}
}

@article{Narasimhan2002,
  title        = {Vision and the Atmosphere},
  author       = {Srinivasa G. Narasimhan and Shree K. Nayar},
  journal      = {International Journal of Computer Vision},
  volume       = {48},
  number       = {3},
  pages        = {233--254},
  year         = {2002},
  doi          = {10.1023/A:1016328200723},
  url          = {https://cave.cs.columbia.edu/old/publications/pdfs/Narasimhan_IJCV02.pdf}
}

@inproceedings{He2009,
  title        = {Single Image Haze Removal Using Dark Channel Prior},
  author       = {Kaiming He and Jian Sun and Xiaoou Tang},
  booktitle    = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year         = {2009},
  pages        = {1956--1963},
  url          = {https://projectsweb.cs.washington.edu/research/insects/CVPR2009/award/hazeremv_drkchnl.pdf}
}

@article{Li2017Reside,
  title        = {Benchmarking Single-Image Dehazing and Beyond},
  author       = {Boyi Li and Wenqi Ren and Dengpan Fu and Dacheng Tao and Dan Feng and Wenjun Zeng and Zhangyang Wang},
  journal      = {arXiv preprint arXiv:1712.04143},
  year         = {2017},
  url          = {https://arxiv.org/abs/1712.04143}
}

@article{Wang2023_SurveillanceAQ,
  title        = {Surveillance-image-based outdoor air quality monitoring},
  author       = {Xiaochu Wang and Meizhen Wang and Xuejun Liu and Ying Mao and Yang Chen},
  journal      = {Environmental Science and Ecotechnology},
  volume       = {18},
  pages        = {100319},
  year         = {2023},
  doi          = {10.1016/j.ese.2023.100319},
  url          = {https://pmc.ncbi.nlm.nih.gov/articles/PMC10569950/}
}

@article{Kow2022_JEnvMan,
  title        = {Real-time image-based air quality estimation by deep learning neural networks},
  author       = {Pei-Ying Kow and I.-W. Hsia and Li-Chiu Chang and Fang-Ju Chang},
  journal      = {Journal of Environmental Management},
  volume       = {307},
  pages        = {114560},
  year         = {2022},
  doi          = {10.1016/j.jenvman.2022.114560},
  url          = {https://doi.org/10.1016/j.jenvman.2022.114560}
}

@article{Raissi2019,
  title        = {Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations},
  author       = {Maziar Raissi and Paris Perdikaris and George E. Karniadakis},
  journal      = {Journal of Computational Physics},
  volume       = {378},
  pages        = {686--707},
  year         = {2019},
  doi          = {10.1016/j.jcp.2018.10.045},
  url          = {https://www.sciencedirect.com/science/article/pii/S0021999118307125}
}

@article{Hsieh2023_HLE,
  title        = {Using Haze Level Estimation in Data Cleaning for Single-Image Dehazing},
  author       = {Chih-Hao Hsieh and Yi-Jui Chen and Hsueh-Yi Kuo and Sheng-Yi Chen and Yi-Hsuan Tsai},
  journal      = {Electronics},
  volume       = {12},
  number       = {16},
  pages        = {3485},
  year         = {2023},
  doi          = {10.3390/electronics12163485},
  url          = {https://www.mdpi.com/2079-9292/12/16/3485}
}

@inproceedings{Guo2017,
  title        = {On Calibration of Modern Neural Networks},
  author       = {Chuan Guo and Geoff Pleiss and Yu Sun and Kilian Q. Weinberger},
  booktitle    = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  year         = {2017},
  pages        = {1321--1330},
  publisher    = {PMLR},
  url          = {https://proceedings.mlr.press/v70/guo17a/guo17a.pdf}
}

@article{Chen2021HVAQ,
  title        = {HVAQ: A High-Resolution Vision-Based Air Quality Dataset},
  author       = {Zuohui Chen and Tony Zhang and Zhuangzhi Chen and Yun Xiang and Qi Xuan and Robert P. Dick},
  journal      = {arXiv preprint arXiv:2102.09332},
  year         = {2021},
  doi          = {10.48550/arXiv.2102.09332},
  url          = {https://arxiv.org/abs/2102.09332}
}

@misc{SAPID2024,
  title        = {Smartphone-Based Air Pollution Image Dataset (SAPID)},
  author       = {Ruikuan Zhu},
  howpublished = {Mendeley Data, Version 1},
  year         = {2024},
  doi          = {10.17632/j654cspb6r.1},
  url          = {https://data.mendeley.com/datasets/j654cspb6r/1}
}

@book{QuioneroCandela2009,
  title     = {Dataset Shift in Machine Learning},
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  publisher = {MIT Press},
  year      = {2009},
  url       = {https://mitpress.mit.edu/9780262170055/dataset-shift-in-machine-learning/}
}

@inproceedings{Sun2016DeepCORAL,
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  author    = {Sun, Baochen and Saenko, Kate},
  booktitle = {European Conference on Computer Vision (ECCV) Workshops},
  year      = {2016},
  pages     = {443--450},
  doi       = {10.1007/978-3-319-49409-8_35},
  url       = {https://arxiv.org/abs/1607.01719}
}

@article{Ganin2016DANN,
  title   = {Domain-Adversarial Training of Neural Networks},
  author  = {Ganin, Yaroslav and Lempitsky, Victor},
  journal = {Journal of Machine Learning Research},
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  number  = {59},
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  year    = {2016},
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@article{Wang2018SurveyUDA,
  title   = {Deep Visual Domain Adaptation: A Survey},
  author  = {Wang, Mei and Deng, Weihong},
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  volume  = {312},
  pages   = {135--153},
  year    = {2018},
  doi     = {10.1016/j.neucom.2018.05.083},
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@article{Wilson2020SurveyUDA,
  title   = {A Survey of Unsupervised Domain Adaptation for Visual Recognition},
  author  = {Wilson, Garrett and Cook, Diane J.},
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  number  = {5},
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@inproceedings{Wang2021TENT,
  title     = {Tent: Fully Test-Time Adaptation by Entropy Minimization},
  author    = {Wang, Dequan and Shelhamer, Evan and Liu, Shaoteng and Olshausen, Bruno and Darrell, Trevor},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year      = {2021},
  url       = {https://openreview.net/forum?id=uXl3bZLkr3c}
}

@inproceedings{Liang2020SHOT,
  title     = {Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation},
  author    = {Liang, Jian and Hu, Dapeng and Feng, Jiashi},
  booktitle = {Proceedings of the 37th International Conference on Machine Learning (ICML)},
  year      = {2020},
  pages     = {6028--6039},
  publisher = {PMLR},
  url       = {https://proceedings.mlr.press/v119/liang20a.html}
}

@inproceedings{Howard2019,
  title        = {Searching for MobileNetV3},
  author       = {Howard, Andrew and Sandler, Mark and Chu, Grace and Chen, Liang-Chieh and Chen, Bo and Tan, Mingxing and Wang, Weijun and Zhu, Yukun and Pang, Ruoming and Vasudevan, Vijay and Le, Quoc V. and Adam, Hartwig},
  booktitle    = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year         = {2019},
  pages        = {1314--1324},
  url          = {https://openaccess.thecvf.com/content_ICCV_2019/papers/Howard_Searching_for_MobileNetV3_ICCV_2019_paper.pdf}
}

@inproceedings{Guo2017,
  title        = {On Calibration of Modern Neural Networks},
  author       = {Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q.},
  booktitle    = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  year         = {2017},
  pages        = {1321--1330},
  publisher    = {PMLR},
  url          = {https://proceedings.mlr.press/v70/guo17a/guo17a.pdf}
}
@misc{SAPID2024,
  title        = {Smartphone-Based Air Pollution Image Dataset (SAPID)},
  author       = {Ruikuan Zhu},
  howpublished = {Mendeley Data, Version 1},
  year         = {2024},
  doi          = {10.17632/j654cspb6r.1},
  url          = {https://data.mendeley.com/datasets/j654cspb6r/1}
}

@inproceedings{Howard2019,
  title     = {Searching for MobileNetV3},
  author    = {Howard, Andrew and Sandler, Mark and Chu, Grace and Chen, Liang-Chieh and Chen, Bo and Tan, Mingxing and Wang, Weijun and Zhu, Yukun and Pang, Ruoming and Vasudevan, Vijay and Le, Quoc V. and Adam, Hartwig},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages     = {1314--1324},
  year      = {2019},
  url       = {https://openaccess.thecvf.com/content_ICCV_2019/papers/Howard_Searching_for_MobileNetV3_ICCV_2019_paper.pdf}
}

@article{Narasimhan2002,
  title   = {Vision and the Atmosphere},
  author  = {Narasimhan, Srinivasa G. and Nayar, Shree K.},
  journal = {International Journal of Computer Vision},
  volume  = {48},
  number  = {3},
  pages   = {233--254},
  year    = {2002},
  doi     = {10.1023/A:1016328200723}
}

@inproceedings{He2009,
  title     = {Single Image Haze Removal Using Dark Channel Prior},
  author    = {He, Kaiming and Sun, Jian and Tang, Xiaoou},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages     = {1956--1963},
  year      = {2009},
  doi       = {10.1109/CVPR.2009.5206515}
}

@inproceedings{Guo2017,
  title     = {On Calibration of Modern Neural Networks},
  author    = {Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q.},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  pages     = {1321--1330},
  year      = {2017},
  publisher = {PMLR},
  url       = {https://proceedings.mlr.press/v70/guo17a/guo17a.pdf}
}

@inproceedings{Selvaraju2017,
  title     = {Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization},
  author    = {Selvaraju, Ramprasaath R. and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
  pages     = {618--626},
  year      = {2017},
  doi       = {10.1109/ICCV.2017.74}
}


@misc{SAPID2024,
  title        = {Smartphone-Based Air Pollution Image Dataset (SAPID)},
  author       = {Ruikuan Zhu},
  howpublished = {Mendeley Data, Version 1},
  year         = {2024},
  doi          = {10.17632/j654cspb6r.1},
  url          = {https://data.mendeley.com/datasets/j654cspb6r/1}
}

@inproceedings{Howard2019,
  title     = {Searching for MobileNetV3},
  author    = {Howard, Andrew and Sandler, Mark and Chu, Grace and Chen, Liang-Chieh and Chen, Bo and Tan, Mingxing and Wang, Weijun and Zhu, Yukun and Pang, Ruoming and Vasudevan, Vijay and Le, Quoc V. and Adam, Hartwig},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages     = {1314--1324},
  year      = {2019},
  url       = {https://openaccess.thecvf.com/content_ICCV_2019/papers/Howard_Searching_for_MobileNetV3_ICCV_2019_paper.pdf}
}

@inproceedings{Guo2017,
  title     = {On Calibration of Modern Neural Networks},
  author    = {Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q.},
  booktitle = {Proceedings of the 34th International Conference on Machine Learning (ICML)},
  pages     = {1321--1330},
  year      = {2017},
  publisher = {PMLR},
  url       = {https://proceedings.mlr.press/v70/guo17a/guo17a.pdf}
}

@inproceedings{Selvaraju2017,
  title     = {Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization},
  author    = {Selvaraju, Ramprasaath R. and Cogswell, Michael and Das, Abhishek and Vedantam, Ramakrishna and Parikh, Devi and Batra, Dhruv},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
  pages     = {618--626},
  year      = {2017},
  doi       = {10.1109/ICCV.2017.74}
}


