{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T06:47:25Z","timestamp":1776149245103,"version":"3.50.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T00:00:00Z","timestamp":1685491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T00:00:00Z","timestamp":1685491200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61803161"],"award-info":[{"award-number":["No.61803161"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.61973125"],"award-info":[{"award-number":["No.61973125"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["No. 2023A1515030119"],"award-info":[{"award-number":["No. 2023A1515030119"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["No. 2022A1515011887"],"award-info":[{"award-number":["No. 2022A1515011887"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["No. 2022A1515110119"],"award-info":[{"award-number":["No. 2022A1515110119"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s11042-023-15312-1","type":"journal-article","created":{"date-parts":[[2023,5,31]],"date-time":"2023-05-31T09:02:56Z","timestamp":1685523776000},"page":"6393-6412","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["MBA-Net: multi-branch attention network for occluded person re-identification"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1873-0269","authenticated-orcid":false,"given":"Xing","family":"Hong","sequence":"first","affiliation":[]},{"given":"Langwen","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaoyuan","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Yumin","family":"Xie","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,31]]},"reference":[{"key":"15312_CR1","doi-asserted-by":"crossref","unstructured":"Chen W, Chen X, Zhang J, Huang K (2017) Beyond triplet loss: a deep quadruplet network for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 403\u2013412","DOI":"10.1109\/CVPR.2017.145"},{"key":"15312_CR2","doi-asserted-by":"crossref","unstructured":"Chen G, Lin C, Ren L, Lu J, Zhou J (2019) Self-critical attention learning for person re-identification. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp 9637\u20139646","DOI":"10.1109\/ICCV.2019.00973"},{"issue":"4","key":"15312_CR3","doi-asserted-by":"publisher","first-page":"4649","DOI":"10.1007\/s11042-020-10494-4","volume":"81","author":"W Chen","year":"2022","unstructured":"Chen W, Lu Y, Ma H, Chen Q, Wu X, Wu P (2022) Self-attention mechanism in person re-identification models. Multimed Tools Appl 81 (4):4649\u20134667","journal-title":"Multimed Tools Appl"},{"key":"15312_CR4","doi-asserted-by":"publisher","first-page":"104587","DOI":"10.1016\/j.imavis.2022.104587","volume":"128","author":"Y Chen","year":"2022","unstructured":"Chen Y, Yang Y, Liu W, Huang Y, Li J (2022) Pose-guided counterfactual inference for occluded person re-identification. Image Vis Comput 128:104587","journal-title":"Image Vis Comput"},{"issue":"3","key":"15312_CR5","doi-asserted-by":"publisher","first-page":"3533","DOI":"10.1007\/s11042-017-5182-z","volume":"77","author":"D Cheng","year":"2018","unstructured":"Cheng D, Gong Y, Shi W, Zhang S (2018) Person re-identification by the asymmetric triplet and identification loss function. Multimed Tools Appl 77(3):3533\u20133550","journal-title":"Multimed Tools Appl"},{"key":"15312_CR6","unstructured":"Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S et al (2020) An image is worth 16x16 words: transformers for image recognition at scale. arXiv:2010.11929"},{"key":"15312_CR7","doi-asserted-by":"crossref","unstructured":"Gao S, Wang J, Lu H, Liu Z (2020) Pose-guided visible part matching for occluded person reid. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 11744\u201311752","DOI":"10.1109\/CVPR42600.2020.01176"},{"key":"15312_CR8","unstructured":"He L, Liao X, Liu W, Liu X, Cheng P, Mei T (2020) Fastreid: a pytorch toolbox for general instance re-identification. arXiv:2006.02631"},{"key":"15312_CR9","doi-asserted-by":"crossref","unstructured":"He S, Luo H, Wang P, Wang F, Li H, Jiang W (2021) Transreid: transformer-based object re-identification. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp 15013\u201315022","DOI":"10.1109\/ICCV48922.2021.01474"},{"key":"15312_CR10","unstructured":"Hermans A, Beyer L, Leibe B (2017) In defense of the triplet loss for person re-identification. arXiv:1703.07737"},{"issue":"4","key":"15312_CR11","doi-asserted-by":"publisher","first-page":"2170","DOI":"10.1109\/TCSVT.2021.3088446","volume":"32","author":"H Jin","year":"2021","unstructured":"Jin H, Lai S, Qian X (2021) Occlusion-sensitive person re-identification via attribute-based shift attention. IEEE Trans Circuits Syst Video Technol 32(4):2170\u20132185","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"15312_CR12","doi-asserted-by":"crossref","unstructured":"Li W, Zhu X, Gong S (2018) Harmonious attention network for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2285\u20132294","DOI":"10.1109\/CVPR.2018.00243"},{"key":"15312_CR13","doi-asserted-by":"crossref","unstructured":"Li Y, He J, Zhang T, Liu X, Zhang Y, Wu F (2021) Diverse part discovery: occluded person re-identification with part-aware transformer. In: Proceedings of the IEEE\/CVF Conference on computer vision and pattern recognition, pp 2898\u20132907","DOI":"10.1109\/CVPR46437.2021.00292"},{"key":"15312_CR14","doi-asserted-by":"crossref","unstructured":"Liao S, Li S (2015) Efficient psd constrained asymmetric metric learning for person re-identification. In: Proceedings of the IEEE international conference on computer vision, pp 3685\u20133693","DOI":"10.1109\/ICCV.2015.420"},{"key":"15312_CR15","doi-asserted-by":"crossref","unstructured":"Luo H, Gu Y, Liao X, Lai S, Jiang W (2019) Bag of tricks and a strong baseline for deep person re-identification. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition workshops, pp 0\u20130","DOI":"10.1109\/CVPRW.2019.00190"},{"issue":"6-7","key":"15312_CR16","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.imavis.2014.04.002","volume":"32","author":"B Ma","year":"2014","unstructured":"Ma B, Su Y, Jurie F (2014) Covariance descriptor based on bio-inspired features for person re-identification and face verification. Image Vis Comput 32 (6-7):379\u2013390","journal-title":"Image Vis Comput"},{"key":"15312_CR17","doi-asserted-by":"crossref","unstructured":"Miao J, Wu Y, Liu P, Ding Y, Yang Y (2019) Pose-guided feature alignment for occluded person re-identification. In: Proceedings of the IEEE\/CVF international conference on computer vision, pp 542\u2013551","DOI":"10.1109\/ICCV.2019.00063"},{"key":"15312_CR18","doi-asserted-by":"crossref","unstructured":"Ren X, Zhang D, Bao X, Shi L (2022) Double granularity relation network with self-criticism for occluded person re-identification. In: MultiMedia Modeling: 28th International Conference, MMM 2022, Phu Quoc, Vietnam, June 6\u201310, 2022, Proceedings, Part I, pp 325\u2013338. Springer","DOI":"10.1007\/978-3-030-98358-1_26"},{"key":"15312_CR19","doi-asserted-by":"crossref","unstructured":"Ristani E, Solera F, Zou R, Cucchiara R, Tomasi C (2016) Performance measures and a data set for multi-target, multi-camera tracking. In: European conference on computer vision, pp 17\u201335. Springer","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"15312_CR20","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.neucom.2021.11.038","volume":"486","author":"Y Shi","year":"2022","unstructured":"Shi Y, Tian W, Ling H, Li Z, Li P (2022) Spatial-wise and channel-wise feature uncertainty for occluded person re-identification. Neurocomputing 486:237\u2013249","journal-title":"Neurocomputing"},{"key":"15312_CR21","doi-asserted-by":"crossref","unstructured":"Si J, Zhang H, Li CG, Kuen J, Kong X, Kot AC, 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, pp 5363\u20135372","DOI":"10.1109\/CVPR.2018.00562"},{"key":"15312_CR22","unstructured":"Srinivas S, Fleuret F (2019) Full-gradient representation for neural network visualization. Advances in Neural Information Processing Systems, 32"},{"key":"15312_CR23","doi-asserted-by":"crossref","unstructured":"Sun Y, Zheng L, Yang Y, Tian Q, Wang S (2018) Beyond part models: person retrieval with refined part pooling (and a strong convolutional baseline). In: Proceedings of the European conference on computer vision (ECCV), pp 480\u2013496","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"15312_CR24","doi-asserted-by":"crossref","unstructured":"Szegedy C, Vanhoucke V, Ioffe S, Shlens J, Wojna Z (2016) Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2818\u20132826","DOI":"10.1109\/CVPR.2016.308"},{"key":"15312_CR25","doi-asserted-by":"crossref","unstructured":"Wang F, Zuo W, Lin L, Zhang D, Zhang L (2016) Joint learning of single-image and cross-image representations for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1288\u20131296","DOI":"10.1109\/CVPR.2016.144"},{"key":"15312_CR26","doi-asserted-by":"crossref","unstructured":"Wang C, Zhang Q, Huang C, Liu W, Wang X (2018) Mancs: a multi-task attentional network with curriculum sampling for person re-identification. In: Proceedings of the European conference on computer vision (ECCV), pp 365\u2013381","DOI":"10.1007\/978-3-030-01225-0_23"},{"key":"15312_CR27","doi-asserted-by":"crossref","unstructured":"Wang G, Yuan Y, Chen X, Li J, Zhou X (2018) Learning discriminative features with multiple granularities for person re-identification. In: Proceedings of the 26th ACM international conference on multimedia, pp 274\u2013282","DOI":"10.1145\/3240508.3240552"},{"key":"15312_CR28","doi-asserted-by":"crossref","unstructured":"Wang X, Girshick R, Gupta A, He K (2018) Non-local neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7794\u20137803","DOI":"10.1109\/CVPR.2018.00813"},{"key":"15312_CR29","doi-asserted-by":"crossref","unstructured":"Wang G, Yang S, Liu H, Wang Z, Yang Y, Wang S, Yu G, Zhou E, Sun J (2020) High-order information matters: learning relation and topology for occluded person re-identification. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 6449\u20136458","DOI":"10.1109\/CVPR42600.2020.00648"},{"key":"15312_CR30","doi-asserted-by":"publisher","first-page":"104186","DOI":"10.1016\/j.imavis.2021.104186","volume":"111","author":"H Wang","year":"2021","unstructured":"Wang H, Chen X, Liu C (2021) Pose-guided part matching network via shrinking and reweighting for occluded person re-identification. Image Vis Comput 111:104186","journal-title":"Image Vis Comput"},{"issue":"7","key":"15312_CR31","doi-asserted-by":"publisher","first-page":"7407","DOI":"10.1007\/s10489-021-02820-6","volume":"52","author":"L Wang","year":"2022","unstructured":"Wang L, Zhou Y, Sun Y, Li S (2022) Occluded person re-identification based on differential attention siamese network. Appl Intell 52(7):7407\u20137419","journal-title":"Appl Intell"},{"key":"15312_CR32","doi-asserted-by":"publisher","first-page":"107424","DOI":"10.1016\/j.patcog.2020.107424","volume":"110","author":"W Wu","year":"2021","unstructured":"Wu W, Tao D, Li H, Yang Z, Cheng J (2021) Deep features for person re-identification on metric learning. Pattern Recogn 110:107424","journal-title":"Pattern Recogn"},{"issue":"43","key":"15312_CR33","doi-asserted-by":"publisher","first-page":"32079","DOI":"10.1007\/s11042-020-09569-z","volume":"79","author":"S Xiang","year":"2020","unstructured":"Xiang S, Fu Y, Chen H, Ran W, Liu T (2020) Multi-level feature learning with attention for person re-identification. Multimed Tools Appl 79(43):32079\u201332093","journal-title":"Multimed Tools Appl"},{"key":"15312_CR34","doi-asserted-by":"publisher","first-page":"106554","DOI":"10.1016\/j.knosys.2020.106554","volume":"212","author":"Y Xu","year":"2021","unstructured":"Xu Y, Zhao L, Qin F (2021) Dual attention-based method for occluded person re-identification. Knowl-Based Syst 212:106554","journal-title":"Knowl-Based Syst"},{"key":"15312_CR35","doi-asserted-by":"crossref","unstructured":"Yang Y, Yang J, Yan J, Liao S, Yi D, Li S (2014) Salient color names for person re-identification. In: European conference on computer vision, pp 536\u2013551. Springer","DOI":"10.1007\/978-3-319-10590-1_35"},{"issue":"10","key":"15312_CR36","doi-asserted-by":"publisher","first-page":"8241","DOI":"10.1007\/s00521-022-06903-4","volume":"34","author":"J Yang","year":"2022","unstructured":"Yang J, Zhang C, Tang Y, Li Z (2022) Pafm: pose-drive attention fusion mechanism for occluded person re-identification. Neural Comput Applic 34(10):8241\u20138252","journal-title":"Neural Comput Applic"},{"issue":"6","key":"15312_CR37","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/TPAMI.2021.3054775","volume":"44","author":"M Ye","year":"2021","unstructured":"Ye M, Shen J, Lin G, Xiang T, Shao L, Hoi SC (2021) Deep learning for person re-identification: a survey and outlook. IEEE Trans Pattern Anal Mach Intell 44(6):2872\u20132893","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"15312_CR38","doi-asserted-by":"crossref","unstructured":"Yu R, Dou Z, Bai S, Zhang Z, Xu Y, Bai X (2018) Hard-aware point-to-set deep metric for person re-identification. In: Proceedings of the European conference on computer vision (ECCV), pp 188\u2013204","DOI":"10.1007\/978-3-030-01270-0_12"},{"key":"15312_CR39","unstructured":"Zhang X, Luo H, Fan X, Xiang W, Sun Y, Xiao Q, Jiang W, Zhang C, Sun J (2017) Alignedreid: surpassing human-level performance in person re-identification. arXiv:1711.08184"},{"issue":"7","key":"15312_CR40","doi-asserted-by":"publisher","first-page":"2764","DOI":"10.1109\/TCSVT.2020.3033165","volume":"31","author":"X Zhang","year":"2020","unstructured":"Zhang X, Yan Y, Xue JH, Hua Y, Wang H (2020) Semantic-aware occlusion-robust network for occluded person re-identification. IEEE Trans Circuits Syst Video Technol 31(7):2764\u20132778","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"15312_CR41","doi-asserted-by":"crossref","unstructured":"Zhao H, Tian M, Sun S, Shao J, Yan J, Yi S, Wang X, Tang X (2017) Spindle net: person re-identification with human body region guided feature decomposition and fusion. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1077\u20131085","DOI":"10.1109\/CVPR.2017.103"},{"key":"15312_CR42","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, pp 1116\u20131124","DOI":"10.1109\/ICCV.2015.133"},{"key":"15312_CR43","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, pp 3754\u20133762","DOI":"10.1109\/ICCV.2017.405"},{"key":"15312_CR44","doi-asserted-by":"crossref","unstructured":"Zheng F, Deng C, Sun X, Jiang X, Guo X, Yu Z, Huang F, Ji R (2019) Pyramidal person re-identification via multi-loss dynamic training. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 8514\u20138522","DOI":"10.1109\/CVPR.2019.00871"},{"key":"15312_CR45","doi-asserted-by":"crossref","unstructured":"Zheng Z, Yang X, Yu Z, Zheng L, Yang Y, Kautz J (2019) Joint discriminative and generative learning for person re-identification. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 2138\u20132147","DOI":"10.1109\/CVPR.2019.00224"},{"key":"15312_CR46","doi-asserted-by":"crossref","unstructured":"Zhong Z, Zheng L, Kang G, Li S, Yang Y (2020) Random erasing data augmentation. In: Proceedings of the AAAI conference on artificial intelligence, vol 34, pp 13001\u201313008","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"15312_CR47","doi-asserted-by":"publisher","first-page":"7578","DOI":"10.1109\/TIP.2020.3004267","volume":"29","author":"Q Zhou","year":"2020","unstructured":"Zhou Q, Zhong B, Lan X, Sun G, Zhang Y, Zhang B, Ji R (2020) Fine-grained spatial alignment model for person re-identification with focal triplet loss. IEEE Trans Image Process 29:7578\u20137589","journal-title":"IEEE Trans Image Process"},{"key":"15312_CR48","doi-asserted-by":"crossref","unstructured":"Zhu K, Guo H, Liu Z, Tang M, Wang J (2020) Identity-guided human semantic parsing for person re-identification. In: European conference on computer vision, pp 346\u2013363. Springer","DOI":"10.1007\/978-3-030-58580-8_21"},{"issue":"17","key":"15312_CR49","doi-asserted-by":"publisher","first-page":"26855","DOI":"10.1007\/s11042-021-10953-6","volume":"80","author":"G Zou","year":"2021","unstructured":"Zou G, Fu G, Peng X, Liu Y, Gao M, Liu Z (2021) Person re-identification based on metric learning: a survey. Multimed Tools Applic 80(17):26855\u201326888","journal-title":"Multimed Tools Applic"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15312-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15312-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15312-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T05:39:24Z","timestamp":1704519564000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15312-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,31]]},"references-count":49,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["15312"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15312-1","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,31]]},"assertion":[{"value":"3 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 February 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 April 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 May 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declared that they have no conflicts of interest to this work. No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of Interests"}}]}}