{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T11:55:48Z","timestamp":1777290948898,"version":"3.51.4"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100013066","name":"Key Scientific Research Project of Colleges and Universities in Henan Province","doi-asserted-by":"publisher","award":["26B520023"],"award-info":[{"award-number":["26B520023"]}],"id":[{"id":"10.13039\/501100013066","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Image and Vision Computing"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.imavis.2026.105990","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:34:03Z","timestamp":1776108843000},"page":"105990","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["CSFG-Net: Cross-scale feature guided person re-identification network"],"prefix":"10.1016","volume":"170","author":[{"given":"Ke","family":"Han","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Junshou","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Gu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingming","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.imavis.2026.105990_b1","doi-asserted-by":"crossref","unstructured":"Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari, Occluded person re-identification with deep learning: A survey and perspectives Expert systems with applications, 239 (2024) 122419.","DOI":"10.1016\/j.eswa.2023.122419"},{"key":"10.1016\/j.imavis.2026.105990_b2","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s00138-024-01622-3","article-title":"A review of recent techniques for person re-identification","volume":"36","author":"Asperti","year":"2025","journal-title":"Mach. Vis. Appl."},{"key":"10.1016\/j.imavis.2026.105990_b3","first-page":"2032","article-title":"A survey on deep learning based person re-identification","volume":"45","author":"Luo","year":"2019","journal-title":"Acta Automat. Sinica"},{"key":"10.1016\/j.imavis.2026.105990_b4","series-title":"Alignedreid: Surpassing human-level performance in person re-identification","author":"Zhang","year":"2017"},{"key":"10.1016\/j.imavis.2026.105990_b5","doi-asserted-by":"crossref","first-page":"2364","DOI":"10.11834\/jig.230523","article-title":"Pose guidance and multi-scale feature fusion for occluded person re-identification","volume":"29","author":"Zhang","year":"2024","journal-title":"J. Image Graph."},{"key":"10.1016\/j.imavis.2026.105990_b6","doi-asserted-by":"crossref","unstructured":"Fabian erzog, Xunbo Ji, Torben Teepe, Stefan H\u00f6rmann, Johannes Gilg, Gerhard Rigoll, Lightweight multi-branch network for person re-identification, in: 2021 IEEE International Conference on Image Processing, ICIP, 2021, pp. 1129\u20131133.","DOI":"10.1109\/ICIP42928.2021.9506733"},{"key":"10.1016\/j.imavis.2026.105990_b7","doi-asserted-by":"crossref","unstructured":"Tianlong Chen, Shaojin Ding, Jingyi Xie, Ye Yuan, Wuyang Chen, Yang Yang, Zhou Ren, Zhangyang Wang, Abd-net: Attentive but diverse person re-identification, in: Proceedings of the IEEE\/CVF International Conference on Computer Vision, 2019, pp. 8351\u20138361.","DOI":"10.1109\/ICCV.2019.00844"},{"key":"10.1016\/j.imavis.2026.105990_b8","doi-asserted-by":"crossref","first-page":"11707","DOI":"10.3390\/app132111707","article-title":"A person re-identification method based on multi-branch feature fusion","volume":"13","author":"Wang","year":"2023","journal-title":"Appl. Sci."},{"key":"10.1016\/j.imavis.2026.105990_b9","first-page":"1233","article-title":"Person re-identification with joint normalization module and multi-branch features","volume":"45","author":"DanPing","year":"2024","journal-title":"Comput. Eng. Des."},{"key":"10.1016\/j.imavis.2026.105990_b10","doi-asserted-by":"crossref","first-page":"28603","DOI":"10.1007\/s11042-020-09427-y","article-title":"Multi-level and multi-scale horizontal pooling network for person re-identification","volume":"79","author":"Zhang","year":"2020","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.imavis.2026.105990_b11","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.neucom.2019.11.062","article-title":"Multi-scale multi-patch person re-identification with exclusivity regularized softmax","volume":"382","author":"Wang","year":"2020","journal-title":"Neurocomputing"},{"key":"10.1016\/j.imavis.2026.105990_b12","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2021.107281","article-title":"Person re-identification based on multi-scale feature learning","volume":"228","author":"Li","year":"2021","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.imavis.2026.105990_b13","doi-asserted-by":"crossref","first-page":"4614","DOI":"10.1049\/iet-ipr.2020.0008","article-title":"Multi-scale feature fusion network for person re-identification","volume":"14","author":"Wang","year":"2020","journal-title":"IET Image Process."},{"key":"10.1016\/j.imavis.2026.105990_b14","first-page":"2201","article-title":"Person re-identification method based on multi-scale weighted feature fusion","volume":"38","author":"Jinguang","year":"2022","journal-title":"J. Signal Process."},{"key":"10.1016\/j.imavis.2026.105990_b15","doi-asserted-by":"crossref","first-page":"14612","DOI":"10.1109\/ACCESS.2023.3243553","article-title":"A double stream person re-identification method based on attention mechanism and multi-scale feature fusion","volume":"11","author":"Ma","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.imavis.2026.105990_b16","doi-asserted-by":"crossref","first-page":"5185","DOI":"10.1007\/s00371-022-02653-5","article-title":"Multi-scale feature pyramid and multi-branch neural network for person re-identification","volume":"39","author":"Wang","year":"2023","journal-title":"Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105990_b17","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2023.103813","article-title":"Multi-scale semantic and detail extraction network for lightweight person re-identification","volume":"236","author":"Zhang","year":"2023","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.imavis.2026.105990_b18","doi-asserted-by":"crossref","unstructured":"Jing Xu, Rui Zhao, Feng Zhu, Huaming Wang, Wanli Ouyang, Attention-aware compositional network for person re-identification, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 2119\u20132128.","DOI":"10.1109\/CVPR.2018.00226"},{"key":"10.1016\/j.imavis.2026.105990_b19","doi-asserted-by":"crossref","unstructured":"Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun, Do not disturb me: Person re-identification under the interference of other pedestrians, in: European Conference on Computer Vision, 2020, pp. 647\u2013663.","DOI":"10.1007\/978-3-030-58539-6_39"},{"key":"10.1016\/j.imavis.2026.105990_b20","doi-asserted-by":"crossref","first-page":"8241","DOI":"10.1007\/s00521-022-06903-4","article-title":"PAFM: Pose-drive attention fusion mechanism for occluded person re-identification","volume":"34","author":"Yang","year":"2022","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.imavis.2026.105990_b21","doi-asserted-by":"crossref","first-page":"8210","DOI":"10.1109\/TNNLS.2022.3144163","article-title":"MHSA-Net: Multihead self-attention network for occluded person re-identification","volume":"34","author":"Tan","year":"2022","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.imavis.2026.105990_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108567","article-title":"Deep attention aware feature learning for person re-identification","volume":"126","author":"Chen","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.imavis.2026.105990_b23","doi-asserted-by":"crossref","first-page":"7407","DOI":"10.1007\/s10489-021-02820-6","article-title":"Occluded person re-identification based on differential attention siamese network","volume":"52","author":"Wang","year":"2022","journal-title":"Appl. Intell."},{"key":"10.1016\/j.imavis.2026.105990_b24","doi-asserted-by":"crossref","DOI":"10.1016\/j.cviu.2023.103623","article-title":"Diff attention: A novel attention scheme for person re-identification","volume":"228","author":"Lin","year":"2023","journal-title":"Comput. Vis. Image Underst."},{"key":"10.1016\/j.imavis.2026.105990_b25","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/TETCI.2020.3034606","article-title":"Attention deep model with multi-scale deep supervision for person re-identification","volume":"5","author":"Wu","year":"2021","journal-title":"IEEE Trans. Emerg. Top. Comput. Intell."},{"key":"10.1016\/j.imavis.2026.105990_b26","doi-asserted-by":"crossref","unstructured":"Qibin Hou, Daquan Zhou, Jiashi Feng, Coordinate attention for efficient mobile network design, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2021, pp. 13713\u201313722.","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"10.1016\/j.imavis.2026.105990_b27","doi-asserted-by":"crossref","unstructured":"Xiao Zhou, Yujie Zhong, Zhen Cheng, Fan Liang, Lin Ma, Adaptive sparse pairwise loss for object re-identification, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 19691\u201319701.","DOI":"10.1109\/CVPR52729.2023.01886"},{"key":"10.1016\/j.imavis.2026.105990_b28","doi-asserted-by":"crossref","unstructured":"Yandong Wen, Kaipeng Zhang, Zhifeng Li, Yu Qiao, A discriminative feature learning approach for deep face recognition, in: European Conference on Computer Vision, 2016, pp. 499\u2013515.","DOI":"10.1007\/978-3-319-46478-7_31"},{"key":"10.1016\/j.imavis.2026.105990_b29","doi-asserted-by":"crossref","unstructured":"Liang Zheng, Liyue Shen, Lu Tian, Shengjin Wang, Jingdong Wang, Qi Tian, Scalable person re-identification: A benchmark, in: Proceedings of the IEEE International Conference on Computer Vision, 2015, pp. 1116\u20131124.","DOI":"10.1109\/ICCV.2015.133"},{"key":"10.1016\/j.imavis.2026.105990_b30","doi-asserted-by":"crossref","unstructured":"Ergys Ristani, Francesco Solera, Roger Zou, Rita Cucchiara, Carlo Tomasi, Performance measures and a data set for multi-target, multi-camera tracking, in: European Conference on Computer Vision, 2016, pp. 17\u201335.","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"10.1016\/j.imavis.2026.105990_b31","doi-asserted-by":"crossref","unstructured":"Wei Li, Rui Zhao, Tong Xiao, Xiaogang Wang, Deepreid: Deep filter pairing neural network for person re-identification, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014, pp. 152\u2013159.","DOI":"10.1109\/CVPR.2014.27"},{"key":"10.1016\/j.imavis.2026.105990_b32","doi-asserted-by":"crossref","unstructured":"Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, Shengjin Wang, Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline), in: Proceedings of the European Conference on Computer Vision, ECCV, 2018.","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"10.1016\/j.imavis.2026.105990_b33","doi-asserted-by":"crossref","first-page":"2872","DOI":"10.1109\/TPAMI.2021.3054775","article-title":"Deep learning for person re-identification: A survey and outlook","volume":"44","author":"Ye","year":"2021","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2026.105990_b34","doi-asserted-by":"crossref","unstructured":"Guanshuo Wang, Yufeng Yuan, Xiong Chen, Jiwei Li, Xi Zhou, Learning discriminative features with multiple granularities for person re-identification, in: Proceedings of the 26th ACM International Conference on Multimedia, 2018, pp. 274\u2013282.","DOI":"10.1145\/3240508.3240552"},{"key":"10.1016\/j.imavis.2026.105990_b35","doi-asserted-by":"crossref","first-page":"23617","DOI":"10.1007\/s11042-020-09018-x","article-title":"Adaptive weight part-based convolutional network for person re-identification","volume":"79","author":"Shu","year":"2020","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.imavis.2026.105990_b36","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.neucom.2020.05.007","article-title":"A heterogeneous branch and multi-level classification network for person re-identification","volume":"404","author":"Wang","year":"2020","journal-title":"Neurocomputing"},{"key":"10.1016\/j.imavis.2026.105990_b37","doi-asserted-by":"crossref","first-page":"24431","DOI":"10.1007\/s11042-022-12732-3","article-title":"Consistent attentive dual branch network for person re-identification","volume":"81","author":"Munir","year":"2022","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.imavis.2026.105990_b38","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1007\/s12204-023-2626-7","article-title":"Person re-identification based on spatial feature learning and multi-granularity feature fusion","volume":"30","author":"Diao","year":"2025","journal-title":"J. Shanghai Jiaotong Univ. (Sci.)"},{"key":"10.1016\/j.imavis.2026.105990_b39","article-title":"Aaformer: Auto-aligned transformer for person re-identification","author":"Zhu","year":"2023","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.imavis.2026.105990_b40","article-title":"Person re-identification driven by diverse fine-grained features and relation network","volume":"59","author":"Ruyu","year":"2023","journal-title":"J. Comput. Eng. Appl."},{"key":"10.1016\/j.imavis.2026.105990_b41","doi-asserted-by":"crossref","first-page":"6393","DOI":"10.1007\/s11042-023-15312-1","article-title":"MBA-Net: Multi-branch attention network for occluded person re-identification","volume":"83","author":"Hong","year":"2024","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.imavis.2026.105990_b42","doi-asserted-by":"crossref","first-page":"1957","DOI":"10.3390\/math12131957","article-title":"PSF-C-Net: A counterfactual deep learning model for person re-identification based on random cropping patch and shuffling filling","volume":"12","author":"Sun","year":"2024","journal-title":"Mathematics"},{"key":"10.1016\/j.imavis.2026.105990_b43","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.3390\/electronics13081435","article-title":"MHDNet: A multi-scale hybrid deep learning model for person re-identification","volume":"13","author":"Wang","year":"2024","journal-title":"Electronics"},{"key":"10.1016\/j.imavis.2026.105990_b44","doi-asserted-by":"crossref","first-page":"3183","DOI":"10.3390\/electronics13163183","article-title":"An efficient multi-branch attention network for person re-identification","volume":"13","author":"Han","year":"2024","journal-title":"Electronics"},{"key":"10.1016\/j.imavis.2026.105990_b45","article-title":"Mask-aware hierarchical aggregation transformer for occluded person re-identification","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.105990_b46","article-title":"Internal-external context interaction network for person re-identification","author":"Liu","year":"2025","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.imavis.2026.105990_b47","doi-asserted-by":"crossref","unstructured":"Boran Zhang, HDA-Net: Hierarchical Dynamic-Aware Attention with Multi-Head Filtering for Occlusion-Aware Person Re-Identification, in: 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information, ICETCI, 2025, pp. 197\u2013204.","DOI":"10.1109\/ICETCI64844.2025.11084224"},{"key":"10.1016\/j.imavis.2026.105990_b48","article-title":"Escnet: Embedding space consistency network with scale-perspective adaptation for person re-identification","author":"Gao","year":"2025","journal-title":"IEEE Access"}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885626000971?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885626000971?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T11:21:41Z","timestamp":1777288901000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885626000971"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":48,"alternative-id":["S0262885626000971"],"URL":"https:\/\/doi.org\/10.1016\/j.imavis.2026.105990","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CSFG-Net: Cross-scale feature guided person re-identification network","name":"articletitle","label":"Article Title"},{"value":"Image and Vision Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.imavis.2026.105990","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"105990"}}