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In this article, we aim to solve the single-domain generalizable object detection task in urban scenarios, meaning that a model trained on images from one weather condition should be able to perform well on images from any other weather conditions. To address this challenge, we propose a novel Double AUGmentation (DoubleAUG) method that includes image- and feature-level augmentation schemes. In the image-level augmentation, we consider the variation in color information across different weather conditions and propose a Color Perturbation (CP) method that randomly exchanges the RGB channels to generate various images. In the feature-level augmentation, we propose to utilize a Dual-Style Memory (DSM) to explore the diverse style information on the entire dataset, further enhancing the model\u2019s generalization capability. Extensive experiments demonstrate that our proposed method outperforms state-of-the-art methods. Furthermore, ablation studies confirm the effectiveness of each module in our proposed method. Moreover, our method is plug-and-play and can be integrated into existing methods to further improve model performance.<\/jats:p>","DOI":"10.1145\/3634683","type":"journal-article","created":{"date-parts":[[2023,12,18]],"date-time":"2023-12-18T11:53:27Z","timestamp":1702900407000},"page":"1-20","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["DoubleAUG: Single-domain Generalized Object Detector in Urban via Color Perturbation and Dual-style Memory"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-7091-0702","authenticated-orcid":false,"given":"Lei","family":"Qi","sequence":"first","affiliation":[{"name":"Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0445-1779","authenticated-orcid":false,"given":"Peng","family":"Dong","sequence":"additional","affiliation":[{"name":"Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-0323-1117","authenticated-orcid":false,"given":"Tan","family":"Xiong","sequence":"additional","affiliation":[{"name":"Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-5856-4445","authenticated-orcid":false,"given":"Hui","family":"Xue","sequence":"additional","affiliation":[{"name":"Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7729-0622","authenticated-orcid":false,"given":"Xin","family":"Geng","sequence":"additional","affiliation":[{"name":"Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China"}]}],"member":"320","published-online":{"date-parts":[[2024,1,11]]},"reference":[{"key":"e_1_3_1_2_2","article-title":"Generalizing to unseen domains via distribution matching","author":"Albuquerque Isabela","year":"2019","unstructured":"Isabela Albuquerque, Jo\u00e3o Monteiro, Mohammad Darvishi, Tiago H. 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Brostow, Moustapha Ciss\u00e9, Giovanni Maria Farinella, and Tal Hassner (Eds.). 37\u201353."},{"key":"e_1_3_1_33_2","first-page":"484","volume-title":"European Conference on Computer Vision (ECCV\u201918)","volume":"11208","author":"Pan Xingang","year":"2018","unstructured":"Xingang Pan, Ping Luo, Jianping Shi, and Xiaoou Tang. 2018. Two at once: Enhancing learning and generalization capacities via IBN-Net. In European Conference on Computer Vision (ECCV\u201918), Vol. 11208. 484\u2013500."},{"key":"e_1_3_1_34_2","first-page":"1863","volume-title":"International Conference on Computer Vision (ICCV\u201919)","author":"Pan Xingang","year":"2019","unstructured":"Xingang Pan, Xiaohang Zhan, Jianping Shi, Xiaoou Tang, and Ping Luo. 2019. Switchable whitening for deep representation learning. 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In Conference on Advances in Neural Information Processing Systems (NeurIPS\u201915). 91\u201399."},{"key":"e_1_3_1_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"e_1_3_1_40_2","first-page":"6956","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201919)","author":"Saito Kuniaki","year":"2019","unstructured":"Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, and Kate Saenko. 2019. Strong-weak distribution alignment for adaptive object detection. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201919). 6956\u20136965."},{"key":"e_1_3_1_41_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1072-8"},{"key":"e_1_3_1_42_2","first-page":"16740","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922)","author":"Teney Damien","year":"2022","unstructured":"Damien Teney, Ehsan Abbasnejad, Simon Lucey, and Anton van den Hengel. 2022. 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In International Joint Conference on Artificial Intelligence, (IJCAI\u201921). 4627\u20134635."},{"key":"e_1_3_1_47_2","first-page":"159","volume-title":"European Conference on Computer Vision (ECCV\u201920)","author":"Wang Shujun","year":"2020","unstructured":"Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, and Pheng-Ann Heng. 2020. Learning from extrinsic and intrinsic supervisions for domain generalization. In European Conference on Computer Vision (ECCV\u201920), Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm (Eds.). 159\u2013176."},{"key":"e_1_3_1_48_2","first-page":"9123","volume-title":"IEEE\/CVF International Conference on Computer Vision (ICCV\u201921)","author":"Wang Xin","year":"2021","unstructured":"Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, and Trevor Darrell. 2021. Robust object detection via instance-level temporal cycle confusion. 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In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922). 837\u2013846."},{"key":"e_1_3_1_51_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3060446"},{"key":"e_1_3_1_52_2","first-page":"5291","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922)","author":"Wu Jiaxi","year":"2022","unstructured":"Jiaxi Wu, Jiaxin Chen, Mengzhe He, Yiru Wang, Bo Li, Bingqi Ma, Weihao Gan, Wei Wu, Yali Wang, and Di Huang. 2022. Target-relevant knowledge preservation for multi-source domain adaptive object detection. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922). 5291\u20135300."},{"issue":"1","key":"e_1_3_1_53_2","first-page":"33:1\u201333:23","article-title":"Instance correlation graph for unsupervised domain adaptation","volume":"18","author":"Wu Lei","year":"2022","unstructured":"Lei Wu, Hefei Ling, Yuxuan Shi, and Baiyan Zhang. 2022. 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In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922). 7087\u20137097."},{"key":"e_1_3_1_60_2","first-page":"8014","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922)","author":"Zhang Hanlin","year":"2022","unstructured":"Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Sch\u00f6lkopf, and Eric P. Xing. 2022. Towards principled disentanglement for domain generalization. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922). 8014\u20138024."},{"key":"e_1_3_1_61_2","first-page":"161","volume-title":"European Conference on Computer Vision (ECCV\u201922)","author":"Zhang Jian","year":"2022","unstructured":"Jian Zhang, Lei Qi, Yinghuan Shi, and Yang Gao. 2022. MVDG: A unified multi-view framework for domain generalization. In European Conference on Computer Vision (ECCV\u201922), Shai Avidan, Gabriel J. Brostow, Moustapha Ciss\u00e9, Giovanni Maria Farinella, and Tal Hassner (Eds.). 161\u2013177."},{"key":"e_1_3_1_62_2","first-page":"4900","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922)","author":"Zhang Xingxuan","year":"2022","unstructured":"Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, and Haoxin Liu. 2022. Towards unsupervised domain generalization. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922). 4900\u20134910."},{"key":"e_1_3_1_63_2","first-page":"8025","volume-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922)","author":"Zhang Yabin","year":"2022","unstructured":"Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, and Lei Zhang. 2022. Exact feature distribution matching for arbitrary style transfer and domain generalization. In IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR\u201922). 8025\u20138035."},{"key":"e_1_3_1_64_2","doi-asserted-by":"publisher","DOI":"10.1162\/dint_a_00199"},{"key":"e_1_3_1_65_2","first-page":"13025","volume-title":"AAAI Conference on Artificial Intelligence (AAAI\u201920)","author":"Zhou Kaiyang","year":"2020","unstructured":"Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, and Tao Xiang. 2020. Deep domain-adversarial image generation for domain generalisation. In AAAI Conference on Artificial Intelligence (AAAI\u201920). 13025\u201313032."},{"key":"e_1_3_1_66_2","first-page":"561","volume-title":"European Conference on Computer Vision (ECCV\u201920)","volume":"12361","author":"Zhou Kaiyang","year":"2020","unstructured":"Kaiyang Zhou, Yongxin Yang, Timothy M. Hospedales, and Tao Xiang. 2020. Learning to generate novel domains for domain generalization. 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