{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,25]],"date-time":"2026-08-25T15:07:28Z","timestamp":1787670448281,"version":"build-2736575974"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T00:00:00Z","timestamp":1624406400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T00:00:00Z","timestamp":1624406400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61762023"],"award-info":[{"award-number":["61762023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2021,8]]},"DOI":"10.1007\/s11042-021-11139-w","type":"journal-article","created":{"date-parts":[[2021,6,23]],"date-time":"2021-06-23T22:02:49Z","timestamp":1624485769000},"page":"29321-29337","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Domain adaptation with structural knowledge transfer learning for person re-identification"],"prefix":"10.1007","volume":"80","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1270-1771","authenticated-orcid":false,"given":"Haojie","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daoxun","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,23]]},"reference":[{"issue":"9","key":"11139_CR1","doi-asserted-by":"publisher","first-page":"12117","DOI":"10.1007\/s11042-016-4070-2","volume":"76","author":"L An","year":"2017","unstructured":"An L, Chen X, Liu S, Lei Y, Yang S (2017) Integrating appearance features and soft biometrics for person re-identification. Multim Tools Appl 76 (9):12117\u201312131","journal-title":"Multim Tools Appl"},{"key":"11139_CR2","doi-asserted-by":"crossref","unstructured":"Chong Y, Peng C, Zhang J, Pan S (2019) Unsupervised cross-domain person re-identification based on style transfer. In: International conference on intelligent computing (ICIC), pp 54\u201364","DOI":"10.1007\/978-3-030-26763-6_6"},{"key":"11139_CR3","doi-asserted-by":"crossref","unstructured":"Deng W, Zheng L, Jiao J (2018) Image-image domain adaptation with preserved self-Similarity and domain-dissimilarity for Person Re-identification. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 994\u20131003","DOI":"10.1109\/CVPR.2018.00110"},{"key":"11139_CR4","unstructured":"El N, He Y, Guan L (2019) Discriminative feature selection guided deep canonical correlation analysis. In: IEEE International conference on acoustics, speech and signal processing (ICASSP), pp 3487\u20133491"},{"issue":"4","key":"11139_CR5","first-page":"83:1","volume":"14","author":"H Fan","year":"2018","unstructured":"Fan H, Zheng L, Yang Y (2018) Unsupervised person re-identification: Clustering and fine-tuning. ACM Trans Mult Comput Commun Appl 14 (4):83:1\u201383:18","journal-title":"ACM Trans Mult Comput Commun Appl"},{"issue":"5","key":"11139_CR6","doi-asserted-by":"publisher","first-page":"5843","DOI":"10.1007\/s11042-018-6409-3","volume":"78","author":"A Gen\u00e7","year":"2019","unstructured":"Gen\u00e7 A, Ekenel H (2019) Cross-dataset person re-identification using deep convolutional neural networks: effects of context and domain adaptation. Multimed Tools Appl 78(5):5843\u20135861","journal-title":"Multimed Tools Appl"},{"key":"11139_CR7","unstructured":"Hermans A, Beyer L, Leibe B (2017) In defense of the triplet loss for person re-identification. arXiv:1703.07737"},{"key":"11139_CR8","doi-asserted-by":"crossref","unstructured":"Imani M, Ghassemian H (2015) A manifold learning based feature extraction method with improved discriminative ability. In: Iranian conference on machine vision and image processing (MVIP), pp 29\u201332","DOI":"10.1109\/IranianMVIP.2015.7397497"},{"key":"11139_CR9","doi-asserted-by":"crossref","unstructured":"Isola P, Zhu J, Zhou T, Efros A (2017) Image-to-image translation with conditional adversarial networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 1125\u20131134","DOI":"10.1109\/CVPR.2017.632"},{"key":"11139_CR10","doi-asserted-by":"crossref","unstructured":"Li W, Rui Z, Tong X, Wang X (2014) Deep-reid: Deep filter pairing neural network for person re-identification. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 152\u2013159","DOI":"10.1109\/CVPR.2014.27"},{"key":"11139_CR11","doi-asserted-by":"crossref","unstructured":"Liao S, Hu Y, Zhu X, Li S (2015) Person re-identification by local maximal occurrence representation and metric learning. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 2197\u20132206","DOI":"10.1109\/CVPR.2015.7298832"},{"key":"11139_CR12","doi-asserted-by":"crossref","unstructured":"Liao S, Li S (2015) Efficient psd constrained asymmetric metric learning for person re-identification. In: IEEE International conference on computer vision (ICCV), pp 3685\u20133693","DOI":"10.1109\/ICCV.2015.420"},{"key":"11139_CR13","unstructured":"Lin S, Li H, Li C, Kot A (2018) Multi-task mid-level feature alignment network for unsupervised cross-dataset person re-identification. British Machine Vision Conference, pp 1\u20139"},{"key":"11139_CR14","doi-asserted-by":"crossref","unstructured":"Liu J, Zha Z, Chen D, Hong R, Wang M (2019) Adaptive transfer network for cross-domain person re-identification. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 7195\u20137204","DOI":"10.1109\/CVPR.2019.00737"},{"key":"11139_CR15","first-page":"97","volume":"37","author":"M Long","year":"2015","unstructured":"Long M, Cao Y, Wang J, Jordan M (2015) Learning transferable features with deep adaptation networks. Int Conf Mach Learn 37:97\u2013105","journal-title":"Int Conf Mach Learn"},{"key":"11139_CR16","unstructured":"Luo Z, Zou Y, Hoffman J, Fei-Fei L (2017) Label efficient learning of transferable representations across domains and tasks. In: Conference on neural information processing systems (NIPS), pp 165\u2013177"},{"key":"11139_CR17","doi-asserted-by":"crossref","unstructured":"Lv J, Chen W, Li Q, Yang C (2018) Unsupervised cross-dataset person re-identification by transfer learning of spatial-temporal patterns. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 7948\u20137956","DOI":"10.1109\/CVPR.2018.00829"},{"key":"11139_CR18","doi-asserted-by":"crossref","unstructured":"Ma W, Han H, Zhang Y, Wang C (2018) Metric learning algorithm based on weighted pairwise constrained component analysis for person re-identification. In: IEEE 18th International conference on communication technology (ICCT), pp 1154\u20131158","DOI":"10.1109\/ICCT.2018.8600061"},{"key":"11139_CR19","doi-asserted-by":"crossref","unstructured":"Murez Z, Kolouri S, Kriegman D, Ramamoorthi R, Kim K (2018) Image to image translation for domain adaptation. In: IEEE\/CVF Conference on computer vision and pattern recognition (CVPR), pp 4500\u20134509","DOI":"10.1109\/CVPR.2018.00473"},{"key":"11139_CR20","doi-asserted-by":"crossref","unstructured":"Peng P, Xiang T, Wang Y, Pontil M, Gong S, Huang T, Tian Y (2016) Unsupervised cross-dataset transfer learning for person re-identification. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 1306\u20131315","DOI":"10.1109\/CVPR.2016.146"},{"key":"11139_CR21","doi-asserted-by":"crossref","unstructured":"Rao W, Xu M, Zhou J (2020) Improved metric learning algorithm for person re-identification based on asymmetric metric. In: IEEE International conference on artificial intelligence and computer applications (ICAICA), pp 212\u2013216","DOI":"10.1109\/ICAICA50127.2020.9181918"},{"key":"11139_CR22","doi-asserted-by":"publisher","first-page":"1290","DOI":"10.1109\/TIFS.2019.2939750","volume":"15","author":"C Ren","year":"2020","unstructured":"Ren C, Liang B, Ge P, Zhai Y, Lei Z (2020) Domain adaptive person re-identification via camera style generation and label propagation. IEEE Trans Inf Forensics Sec 15:1290\u20131302","journal-title":"IEEE Trans Inf Forensics Sec"},{"key":"11139_CR23","doi-asserted-by":"crossref","unstructured":"Si J, Zhang H, Li C, Kuen J, Kong X, Kot A, Wang G (2018) Dual attention matching network for context-aware feature sequence based person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 5363\u20135372","DOI":"10.1109\/CVPR.2018.00562"},{"key":"11139_CR24","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.patcog.2019.107173","volume":"102","author":"L Song","year":"2020","unstructured":"Song L, Wang C, Zhang L, Du B, Zhang Q, Huang C, Wang X (2020) Unsupervised domain adaptive re-identification: Theory and practice. Pattern Recognit 102:107\u2013173","journal-title":"Pattern Recognit"},{"key":"11139_CR25","doi-asserted-by":"crossref","unstructured":"Sun Y, Zheng L, Deng W, Wang S (2017) Svdnet for pedestrian retrieval. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 3820\u20133828","DOI":"10.1109\/ICCV.2017.410"},{"issue":"17","key":"11139_CR26","doi-asserted-by":"publisher","first-page":"24187","DOI":"10.1007\/s11042-018-6998-x","volume":"78","author":"Y Tian","year":"2019","unstructured":"Tian Y, Li Q, Wang D, Wan B (2019) Robust joint learning network: improved deep representation learning for person re-identification. Multimed Tools Appl 78(17):24187\u201324203","journal-title":"Multimed Tools Appl"},{"key":"11139_CR27","doi-asserted-by":"crossref","unstructured":"Wang J, Zhu X, Gong S, Li W (2018) Transferable joint attribute-identity deep learning for unsupervised person re-identification. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 2275\u20132284","DOI":"10.1109\/CVPR.2018.00242"},{"key":"11139_CR28","doi-asserted-by":"crossref","unstructured":"Wang J, Zhu X, Gong S, Li W (2018) Transferable joint attribute-identity deep learning for unsupervised person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2275\u20132284","DOI":"10.1109\/CVPR.2018.00242"},{"issue":"9-10","key":"11139_CR29","doi-asserted-by":"publisher","first-page":"6463","DOI":"10.1007\/s11042-019-08499-9","volume":"79","author":"G Watson","year":"2020","unstructured":"Watson G, Bhalerao A (2020) Person re-identification combining deep features and attribute detection. Multimed Tools Appl 79(9-10):6463\u20136481","journal-title":"Multimed Tools Appl"},{"key":"11139_CR30","doi-asserted-by":"crossref","unstructured":"Wei L, Zhang S, Gao W, Tian Q (2018) Person transfer gan to bridge domain gap for person re-identification. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 79\u201388","DOI":"10.1109\/CVPR.2018.00016"},{"key":"11139_CR31","unstructured":"Xie S, Zheng Z, Chen L, Chen C (2018) Learning semantic representations for unsupervised domain adaptation. In: Proceedings of the 35th international conference on machine learning (ICML), pp 5419\u20135428"},{"key":"11139_CR32","doi-asserted-by":"crossref","unstructured":"Yang X, Zhou P, Wang M (2019) Person Reidentification via Structural Deep Metric Learning, vol 30, pp 2987\u20132998","DOI":"10.1109\/TNNLS.2018.2861991"},{"key":"11139_CR33","doi-asserted-by":"crossref","unstructured":"Zhang L, Xiang T, Gong S (2016) Learning a discriminative null space for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 1239\u20131248","DOI":"10.1109\/CVPR.2016.139"},{"key":"11139_CR34","doi-asserted-by":"crossref","unstructured":"Zhang X, Wang S, Zhang L, Chun Z, Chang L (2016) Ensemble feature selection with discriminative and representative properties for malware detection. In: IEEE Conference on computer communications workshops, pp 674\u2013675","DOI":"10.1109\/INFCOMW.2016.7562161"},{"key":"11139_CR35","doi-asserted-by":"crossref","unstructured":"Zheng W, Gong S, Xiang T (2011) Person re-identification by probabilistic relative distance comparison. In: IEEE Conference on computer vision and pattern recognition (CVPR), pp 649\u2013656","DOI":"10.1109\/CVPR.2011.5995598"},{"key":"11139_CR36","doi-asserted-by":"crossref","unstructured":"Zheng L, Shen L, Tian L, Wang S, Wang J, Tian Q (2015) Scalable person re-identification: A benchmark. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 1116\u20131124","DOI":"10.1109\/ICCV.2015.133"},{"key":"11139_CR37","doi-asserted-by":"crossref","unstructured":"Zheng Z, Zheng L, Yang Y (2017) Unlabeled samples generated by gan improve the person re-identification baseline in vitro. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 3754\u20133762","DOI":"10.1109\/ICCV.2017.405"},{"key":"11139_CR38","doi-asserted-by":"crossref","unstructured":"Zhong Z, Zheng L, Zheng Z, Li S, Yang Y (2018) Camera Style Adaptation for Person Re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 5157\u20135166","DOI":"10.1109\/CVPR.2018.00541"},{"key":"11139_CR39","doi-asserted-by":"crossref","unstructured":"Zhou B, Khosla A, Lapedriza A, Oliva A, Torralba A (2016) Learning deep features for discriminative localization. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 2921\u20132929","DOI":"10.1109\/CVPR.2016.319"},{"key":"11139_CR40","doi-asserted-by":"crossref","unstructured":"Zhu J, Park T, Isola P, Efros A (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, pp 2223\u20132232","DOI":"10.1109\/ICCV.2017.244"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11139-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-021-11139-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-021-11139-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T18:13:11Z","timestamp":1629396791000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-021-11139-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,23]]},"references-count":40,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2021,8]]}},"alternative-id":["11139"],"URL":"https:\/\/doi.org\/10.1007\/s11042-021-11139-w","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,23]]},"assertion":[{"value":"10 August 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 June 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 June 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}