{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T14:31:20Z","timestamp":1785249080173,"version":"3.55.0"},"reference-count":78,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U22A2094"],"award-info":[{"award-number":["U22A2094"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund of China","doi-asserted-by":"publisher","award":["62272435"],"award-info":[{"award-number":["62272435"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund of China","doi-asserted-by":"publisher","award":["62106003"],"award-info":[{"award-number":["62106003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Fund of China","doi-asserted-by":"publisher","award":["62372074"],"award-info":[{"award-number":["62372074"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3568747","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T17:35:22Z","timestamp":1747330522000},"page":"3336-3351","source":"Crossref","is-referenced-by-count":9,"title":["Exploring Invariance Matters for Domain Generalization"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3824-687X","authenticated-orcid":false,"given":"Shanshan","family":"Wang","sequence":"first","affiliation":[{"name":"National Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1475-752X","authenticated-orcid":false,"given":"Houmeng","family":"He","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Institutes of Physical Science and Information Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0201-1638","authenticated-orcid":false,"given":"Xun","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering and Information Science, School of Information Science and Technology, University of Science and Technology of China, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhipu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5689-1146","authenticated-orcid":false,"given":"Yuanhong","family":"Zhong","sequence":"additional","affiliation":[{"name":"School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5052-000X","authenticated-orcid":false,"given":"Xingyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, and the School of Computer Science and Technology, Anhui University, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3094-7735","authenticated-orcid":false,"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3140611"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-02106-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01415"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01133"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00788"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01135"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2948480"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00072"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3346444"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00533"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00257-z"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00029"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00696"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109851"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_10"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00948"},{"key":"ref17","first-page":"11621","article-title":"Complementary benefits of contrastive learning and self-training under distribution shift","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Garg"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/440"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108993"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611725"},{"issue":"1","key":"ref22","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412797"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.316"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00400"},{"key":"ref26","first-page":"1647","article-title":"Conditional adversarial domain adaptation","volume-title":"Proc. NeurIPS","author":"Long"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3680652"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2024.3354420"},{"key":"ref29","first-page":"5344","article-title":"Generalizing to unseen domains via adversarial data augmentation","volume-title":"Proc. NeurIPS","author":"Volpi"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561103"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00699"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00994"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11596"},{"key":"ref34","first-page":"998","article-title":"MetaReg: Towards domain generalization using meta-regularization","volume-title":"Proc. NeurIPS","volume":"31","author":"Balaji"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_46"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00780"},{"key":"ref37","first-page":"76967","article-title":"Robust fine-tuning of zero-shot models via variance reduction","volume-title":"Proc. NeurIPS","author":"Zhu"},{"key":"ref38","first-page":"1287","article-title":"Image-to-image translation for cross-domain disentanglement","volume-title":"Proc. NeurIPS","volume":"31","author":"Gonz\u00e1lez-Garc\u00eda"},{"key":"ref39","first-page":"18661","article-title":"Supervised contrastive learning","volume-title":"Proc. NIPS","author":"Khosla"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548267"},{"key":"ref41","article-title":"Towards domain generalization in object detection","author":"Zhang","year":"2022","journal-title":"arXiv:2203.14387"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00566"},{"key":"ref43","article-title":"A survey on domain adaptation theory: Learning bounds and theoretical guarantees","author":"Redko","year":"2020","journal-title":"arXiv:2004.11829"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.591"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.572"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.293"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_28"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3289201"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7003"},{"key":"ref52","first-page":"1","article-title":"In search of lost domain generalization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Gulrajani"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00233"},{"key":"ref54","first-page":"7728","article-title":"Efficient domain generalization via common-specific low-rank decomposition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Piratla"},{"key":"ref55","first-page":"6450","article-title":"Domain generalization via model-agnostic learning of semantic features","volume-title":"Proc. NeurIPS","author":"Dou"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_33"},{"key":"ref57","first-page":"22405","article-title":"SWAD: Domain generalization by seeking flat minima","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Cha"},{"key":"ref58","first-page":"7313","article-title":"Domain generalization using causal matching","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mahajan"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_8"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00367"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3321511"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01751"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19812-0_10"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02311"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.609"},{"key":"ref66","article-title":"Generalizing across domains via cross-gradient training","author":"Shankar","year":"2018","journal-title":"arXiv:1804.10745"},{"key":"ref67","article-title":"Invariant risk minimization","author":"Arjovsky","year":"2019","journal-title":"arXiv:1907.02893"},{"key":"ref68","article-title":"Improve unsupervised domain adaptation with mixup training","author":"Yan","year":"2020","journal-title":"arXiv:2001.00677"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.5555\/2946645.2946704"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_38"},{"key":"ref72","article-title":"SAND-mask: An enhanced gradient masking strategy for the discovery of invariances in domain generalization","author":"Shahtalebi","year":"2021","journal-title":"arXiv:2106.02266"},{"key":"ref73","first-page":"1","article-title":"Domain generalization by marginal transfer learning","volume":"22","author":"Blanchard","year":"2021","journal-title":"J. Mach. Learn. Res."},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00858"},{"key":"ref75","first-page":"5815","article-title":"Out-of-distribution generalization via risk extrapolation (REx)","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Krueger"},{"key":"ref76","article-title":"Domain generalization with MixStyle","author":"Zhou","year":"2021","journal-title":"arXiv:2104.02008"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_18"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11005696.pdf?arnumber=11005696","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T19:02:37Z","timestamp":1750100557000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11005696\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":78,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3568747","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}