{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T18:17:53Z","timestamp":1783189073095,"version":"3.54.6"},"reference-count":56,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003995","name":"Anhui Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["2208085MF158"],"award-info":[{"award-number":["2208085MF158"]}],"id":[{"id":"10.13039\/501100003995","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["PA2025GDSK0079"],"award-info":[{"award-number":["PA2025GDSK0079"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62476077"],"award-info":[{"award-number":["62476077"]}],"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":["62302142"],"award-info":[{"award-number":["62302142"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M720981"],"award-info":[{"award-number":["2022M720981"]}],"id":[{"id":"10.13039\/501100002858","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":[[2026,7]]},"DOI":"10.1016\/j.imavis.2026.105998","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T23:34:36Z","timestamp":1776900876000},"page":"105998","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Generalized adversarial feature aggregation and KAN-enhanced network for semi-supervised visible\u2013infrared person re-identification"],"prefix":"10.1016","volume":"171","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1547-161X","authenticated-orcid":false,"given":"Rui","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jicheng","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Long","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoxi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.imavis.2026.105998_b1","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2025.105434","article-title":"Semantic consistency learning for unsupervised multi-modal person re-identification","volume":"155","author":"Zhang","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105998_b2","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2025.105478","article-title":"Spatial cascaded clustering and weighted memory for unsupervised person re-identification","volume":"156","author":"Hong","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105998_b3","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2024.105400","article-title":"Robust auxiliary modality is beneficial for video-based cloth-changing person re-identification","volume":"154","author":"Chen","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105998_b4","doi-asserted-by":"crossref","first-page":"5465","DOI":"10.1109\/TIFS.2025.3573185","article-title":"Diverse co-saliency feature learning for text-based person retrieval","volume":"20","author":"You","year":"2025","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"key":"10.1016\/j.imavis.2026.105998_b5","doi-asserted-by":"crossref","unstructured":"Jiawei Feng, Ancong Wu, Wei-Shi Zheng, Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification, in: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023, pp. 22752\u201322761.","DOI":"10.1109\/CVPR52729.2023.02179"},{"key":"10.1016\/j.imavis.2026.105998_b6","doi-asserted-by":"crossref","unstructured":"Minsu Kim, Seungryong Kim, Jungin Park, Seongheon Park, Kwanghoon Sohn, PartMix: Regularization Strategy To Learn Part Discovery for Visible-Infrared Person Re-Identification, in: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023, pp. 18621\u201318632.","DOI":"10.1109\/CVPR52729.2023.01786"},{"key":"10.1016\/j.imavis.2026.105998_b7","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2025.105602","article-title":"Semi-supervised cross-modality person re-identification based on pseudo label learning","volume":"161","author":"Wu","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105998_b8","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2025.105518","article-title":"Spatio-temporal information mining and fusion feature-guided modal alignment for video-based visible-infrared person re-identification","volume":"157","author":"Zuo","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105998_b9","doi-asserted-by":"crossref","DOI":"10.1016\/j.imavis.2025.105520","article-title":"Image\u2013text feature learning for unsupervised visible\u2013infrared person re-identification","volume":"158","author":"Guo","year":"2025","journal-title":"Image Vis. Comput."},{"key":"10.1016\/j.imavis.2026.105998_b10","doi-asserted-by":"crossref","unstructured":"Yan Jiang, Hao Yu, Xu Cheng, Haoyu Chen, Zhaodong Sun, Guoying Zhao, From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification, in: 2025 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2025, pp. 8828\u20138837.","DOI":"10.1109\/CVPR52734.2025.00825"},{"key":"10.1016\/j.imavis.2026.105998_b11","series-title":"Proceedings of the 32nd ACM International Conference on Multimedia","first-page":"5761","article-title":"Semi-supervised visible-infrared person re-identification via modality unification and confidence guidance","author":"Zheng","year":"2024"},{"key":"10.1016\/j.imavis.2026.105998_b12","doi-asserted-by":"crossref","first-page":"3880","DOI":"10.1109\/TIP.2024.3414938","article-title":"Semi-supervised learning with heterogeneous distribution consistency for visible infrared person re-identification","volume":"33","author":"Wei","year":"2024","journal-title":"Trans. Img. Proc."},{"key":"10.1016\/j.imavis.2026.105998_b13","unstructured":"Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljacic, Thomas Y. Hou, Max Tegmark, KAN: Kolmogorov\u2013Arnold Networks, in: The Thirteenth International Conference on Learning Representations, 2025."},{"issue":"6","key":"10.1016\/j.imavis.2026.105998_b14","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":"2022","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2026.105998_b15","series-title":"Computer Vision \u2013 ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23\u201327, 2022, Proceedings, Part XXIV","first-page":"93","article-title":"Optimal transport for&nbsp;label-efficient visible-infrared person re-identification","author":"Wang","year":"2022"},{"key":"10.1016\/j.imavis.2026.105998_b16","series-title":"Computer Vision \u2013 ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part XVII","first-page":"229","article-title":"Dynamic dual-attentive aggregation learning for visible-infrared person re-identification","author":"Ye","year":"2020"},{"key":"10.1016\/j.imavis.2026.105998_b17","doi-asserted-by":"crossref","unstructured":"Kaijie Ren, Lei Zhang, Implicit Discriminative Knowledge Learning for Visible-Infrared Person Re-Identification, in: 2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2024, pp. 393\u2013402.","DOI":"10.1109\/CVPR52733.2024.00045"},{"key":"10.1016\/j.imavis.2026.105998_b18","series-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems","article-title":"Self-paced contrastive learning with hybrid memory for domain adaptive object re-ID","author":"Ge","year":"2020"},{"key":"10.1016\/j.imavis.2026.105998_b19","series-title":"Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence and Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence and Thirteenth Symposium on Educational Advances in Artificial Intelligence","article-title":"Learning progressive modality-shared transformers for effective visible-infrared person re-identification","author":"Lu","year":"2023"},{"key":"10.1016\/j.imavis.2026.105998_b20","doi-asserted-by":"crossref","first-page":"2800","DOI":"10.1109\/TIFS.2024.3354377","article-title":"Robust visible-infrared person re-identification based on polymorphic mask and wavelet graph convolutional network","volume":"19","author":"Sun","year":"2024","journal-title":"Trans. Info. for. Sec."},{"key":"10.1016\/j.imavis.2026.105998_b21","doi-asserted-by":"crossref","unstructured":"Yukang Zhang, Hanzi Wang, Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification, in: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023, pp. 2153\u20132162.","DOI":"10.1109\/CVPR52729.2023.00214"},{"key":"10.1016\/j.imavis.2026.105998_b22","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111510","article-title":"Learning multi-granularity representation with transformer for visible-infrared person re-identification","volume":"164","author":"Feng","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.imavis.2026.105998_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110981","article-title":"Homogeneous and heterogeneous relational graph for visible-infrared person re-identification","volume":"158","author":"Feng","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.imavis.2026.105998_b24","doi-asserted-by":"crossref","unstructured":"Jiangming Shi, Yachao Zhang, Xiangbo Yin, Yuan Xie, Zhizhong Zhang, Jianping Fan, Zhongchao Shi, Yanyun Qu, Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification, in: 2023 IEEE\/CVF International Conference on Computer Vision, ICCV, 2023, pp. 11184\u201311194.","DOI":"10.1109\/ICCV51070.2023.01030"},{"key":"10.1016\/j.imavis.2026.105998_b25","first-page":"1","article-title":"Semi-supervised locality preserving dense graph neural network with ARMA filters and context-aware learning for hyperspectral image classification","volume":"60","author":"Ding","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.imavis.2026.105998_b26","series-title":"GraphKAN: Enhancing feature extraction with graph Kolmogorov arnold networks","author":"Zhang","year":"2024"},{"key":"10.1016\/j.imavis.2026.105998_b27","series-title":"Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing","first-page":"500","article-title":"Initial investigation of Kolmogorov-arnold networks (KANs) as feature extractors for IMU based human activity recognition","author":"Liu","year":"2024"},{"key":"10.1016\/j.imavis.2026.105998_b28","doi-asserted-by":"crossref","first-page":"4561","DOI":"10.1109\/JSTARS.2021.3074469","article-title":"Multiscale graph sample and aggregate network with context-aware learning for hyperspectral image classification","volume":"14","author":"Ding","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens."},{"key":"10.1016\/j.imavis.2026.105998_b29","series-title":"Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37","first-page":"1180","article-title":"Unsupervised domain adaptation by backpropagation","author":"Ganin","year":"2015"},{"key":"10.1016\/j.imavis.2026.105998_b30","doi-asserted-by":"crossref","unstructured":"Yehansen Chen, Lin Wan, Zhihang Li, Qianyan Jing, Zongyuan Sun, Neural Feature Search for RGB-Infrared Person Re-Identification, in: 2021 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2021, pp. 587\u2013597.","DOI":"10.1109\/CVPR46437.2021.00065"},{"key":"10.1016\/j.imavis.2026.105998_b31","doi-asserted-by":"crossref","unstructured":"Qiang Zhang, Changzhou Lai, Jianan Liu, Nianchang Huang, Jungong Han, FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification, in: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 7339\u20137348.","DOI":"10.1109\/CVPR52688.2022.00720"},{"key":"10.1016\/j.imavis.2026.105998_b32","series-title":"Proceedings of the 31st ACM International Conference on Multimedia","first-page":"944","article-title":"ProtoHPE: Prototype-guided high-frequency patch enhancement for visible-infrared person re-identification","author":"Zhang","year":"2023"},{"key":"10.1016\/j.imavis.2026.105998_b33","series-title":"2023 IEEE\/CVF International Conference on Computer Vision","first-page":"11236","article-title":"Visible-infrared person re-identification via semantic alignment and affinity inference","author":"Fang","year":"2023"},{"key":"10.1016\/j.imavis.2026.105998_b34","series-title":"Computer Vision \u2013 ECCV 2024","first-page":"55","article-title":"WRIM-Net: Wide-ranging information mining network for visible-infrared person re-identification","author":"Wu","year":"2025"},{"key":"10.1016\/j.imavis.2026.105998_b35","doi-asserted-by":"crossref","first-page":"4137","DOI":"10.1109\/TMM.2025.3535353","article-title":"CLIP-driven semantic discovery network for visible-infrared person re-identification","volume":"27","author":"Yu","year":"2025","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.imavis.2026.105998_b36","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111090","article-title":"MSCMNet: Multi-scale semantic correlation mining for visible-infrared person re-identification","volume":"159","author":"Hua","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.imavis.2026.105998_b37","doi-asserted-by":"crossref","first-page":"6392","DOI":"10.1109\/TIP.2021.3092578","article-title":"Homogeneous-to-heterogeneous: Unsupervised learning for RGB-infrared person re-identification","volume":"30","author":"Liang","year":"2021","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.imavis.2026.105998_b38","series-title":"Proceedings of the 30th ACM International Conference on Multimedia","first-page":"2843","article-title":"Augmented dual-contrastive aggregation learning for unsupervised visible-infrared person re-identification","author":"Yang","year":"2022"},{"key":"10.1016\/j.imavis.2026.105998_b39","series-title":"Proceedings of the 31st ACM International Conference on Multimedia","first-page":"3667","article-title":"Unveiling the power of CLIP in unsupervised visible-infrared person re-identification","author":"Chen","year":"2023"},{"key":"10.1016\/j.imavis.2026.105998_b40","doi-asserted-by":"crossref","unstructured":"Zesen Wu, Mang Ye, Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning, in: 2023 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2023, pp. 9548\u20139558.","DOI":"10.1109\/CVPR52729.2023.00921"},{"key":"10.1016\/j.imavis.2026.105998_b41","doi-asserted-by":"crossref","unstructured":"Bin Yang, Jun Chen, Mang Ye, Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification, in: 2023 IEEE\/CVF International Conference on Computer Vision, ICCV, 2023, pp. 11035\u201311045.","DOI":"10.1109\/ICCV51070.2023.01016"},{"key":"10.1016\/j.imavis.2026.105998_b42","series-title":"Computer Vision \u2013 ECCV 2024: 18th European Conference, Milan, Italy, September 29 \u2013 October 4, 2024, Proceedings, Part XVIII","first-page":"456","article-title":"Multi-memory matching for&nbsp;unsupervised visible-infrared person re-identification","author":"Shi","year":"2024"},{"key":"10.1016\/j.imavis.2026.105998_b43","series-title":"Proceedings of the 38th International Conference on Neural Information Processing Systems","article-title":"Learning commonality, divergence and variety for unsupervised visible-infrared person re-identification","author":"Shi","year":"2025"},{"key":"10.1016\/j.imavis.2026.105998_b44","doi-asserted-by":"crossref","first-page":"1937","DOI":"10.1109\/TIFS.2025.3536613","article-title":"Robust duality learning for unsupervised visible-infrared person re-identification","volume":"20","author":"Li","year":"2025","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"5","key":"10.1016\/j.imavis.2026.105998_b45","doi-asserted-by":"crossref","first-page":"3815","DOI":"10.1109\/TPAMI.2025.3541053","article-title":"Dual-level matching with outlier filtering for unsupervised visible-infrared person re-identification","volume":"47","author":"Ye","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.imavis.2026.105998_b46","doi-asserted-by":"crossref","unstructured":"Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li, Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification, in: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 19344\u201319353.","DOI":"10.1109\/CVPR52688.2022.01876"},{"key":"10.1016\/j.imavis.2026.105998_b47","doi-asserted-by":"crossref","unstructured":"Hyunjong Park, Sanghoon Lee, Junghyup Lee, Bumsub Ham, Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences, in: 2021 IEEE\/CVF International Conference on Computer Vision, ICCV, 2021, pp. 12026\u201312035.","DOI":"10.1109\/ICCV48922.2021.01183"},{"key":"10.1016\/j.imavis.2026.105998_b48","doi-asserted-by":"crossref","unstructured":"Mang Ye, Weijian Ruan, Bo Du, Mike Zheng Shou, Channel Augmented Joint Learning for Visible-Infrared Recognition, in: 2021 IEEE\/CVF International Conference on Computer Vision, ICCV, 2021, pp. 13547\u201313556.","DOI":"10.1109\/ICCV48922.2021.01331"},{"key":"10.1016\/j.imavis.2026.105998_b49","series-title":"Proceedings of the 29th ACM International Conference on Multimedia","first-page":"788","article-title":"Towards a unified middle modality learning for visible-infrared person re-identification","author":"Zhang","year":"2021"},{"key":"10.1016\/j.imavis.2026.105998_b50","doi-asserted-by":"crossref","unstructured":"Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xiaocui Peng, Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification, in: 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR, 2022, pp. 14288\u201314297.","DOI":"10.1109\/CVPR52688.2022.01391"},{"key":"10.1016\/j.imavis.2026.105998_b51","unstructured":"Liuxiang Qiu, Si Chen, Yan Yan, Jin-Hao Xue, Da han Wang, Shunzhi Zhu, High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification, in: AAAI Conference on Artificial Intelligence, 2023."},{"key":"10.1016\/j.imavis.2026.105998_b52","unstructured":"Ancong Wu, Wei-Shi Zheng, Hong-Xing Yu, Shaogang Gong, Jianhuang Lai, RGB-Infrared Cross-Modality Person Re-Identification, in: Proceedings of the IEEE International Conference on Computer Vision, ICCV, 2017."},{"key":"10.1016\/j.imavis.2026.105998_b53","doi-asserted-by":"crossref","first-page":"605","DOI":"10.3390\/s17030605","article-title":"Person recognition system based on a combination of body images from visible light and thermal cameras","author":"Nguyen","year":"2017","journal-title":"Sensors"},{"key":"10.1016\/j.imavis.2026.105998_b54","series-title":"Proceedings of the 27th International Joint Conference on Artificial Intelligence","first-page":"1092","article-title":"Visible thermal person re-identification via dual-constrained top-ranking","author":"Ye","year":"2018"},{"issue":"7","key":"10.1016\/j.imavis.2026.105998_b55","article-title":"Random erasing data augmentation","volume":"34","author":"Zhong","year":"2017","journal-title":"Proc. AAAI Conf. Artif. Intell."},{"key":"10.1016\/j.imavis.2026.105998_b56","series-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"Ester","year":"1996"}],"container-title":["Image and Vision Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885626001058?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0262885626001058?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T17:49:49Z","timestamp":1783187389000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0262885626001058"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":56,"alternative-id":["S0262885626001058"],"URL":"https:\/\/doi.org\/10.1016\/j.imavis.2026.105998","relation":{},"ISSN":["0262-8856"],"issn-type":[{"value":"0262-8856","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Generalized adversarial feature aggregation and KAN-enhanced network for semi-supervised visible\u2013infrared person re-identification","name":"articletitle","label":"Article Title"},{"value":"Image and Vision Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.imavis.2026.105998","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":"105998"}}