{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T02:48:01Z","timestamp":1791686881674,"version":"4.3.4"},"reference-count":68,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004608","name":"Jiangsu Province Natural Science Foundation","doi-asserted-by":"publisher","award":["BK20231143"],"award-info":[{"award-number":["BK20231143"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["NJ2023032"],"award-info":[{"award-number":["NJ2023032"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013804","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013804","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176128"],"award-info":[{"award-number":["62176128"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017534","name":"Project 333 of Jiangsu Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017534","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neural Networks"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.neunet.2026.109448","type":"journal-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T15:21:27Z","timestamp":1786029687000},"page":"109448","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"PB","title":["Synergistic optimization of camera-aware disentanglement and consistency learning for unsupervised person re-identification"],"prefix":"10.1016","volume":"205","author":[{"given":"Qing","family":"Tian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Long","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binghui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiashuo","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keyang","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhui","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neunet.2026.109448_bib0001","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"14960","article-title":"Ice: Inter-instance contrastive encoding for unsupervised person re-identification","author":"Chen","year":"2021"},{"key":"10.1016\/j.neunet.2026.109448_bib0002","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"14940","article-title":"Ice: Inter-instance contrastive encoding for unsupervised person re-identification","author":"Chen","year":"2021"},{"issue":"6","key":"10.1016\/j.neunet.2026.109448_bib0003","doi-asserted-by":"crossref","first-page":"7494","DOI":"10.1109\/TPAMI.2022.3226866","article-title":"Learning invariance from generated variance for unsupervised person re-identification","volume":"45","author":"Chen","year":"2022","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.neunet.2026.109448_bib0004","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110359","article-title":"Camera-aware cluster-instance joint online learning for unsupervised person re-identification","volume":"151","author":"Chen","year":"2024","journal-title":"Pattern Recognition"},{"issue":"2","key":"10.1016\/j.neunet.2026.109448_bib0005","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1109\/TCYB.2018.2869739","article-title":"Fusion of multiple person re-id methods with model and data-aware abilities","volume":"50","author":"Cheng","year":"2020","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.neunet.2026.109448_bib0006","doi-asserted-by":"crossref","first-page":"9070","DOI":"10.1109\/TIFS.2024.3465037","article-title":"Neighbor consistency and global-local interaction: A novel pseudo-label refinement approach for unsupervised person re-identification","volume":"19","author":"Cheng","year":"2024","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109448_bib0007","series-title":"Proceedings of the 30th ACM international conference on multimedia","first-page":"6627","article-title":"MMDV: Interpreting dNNs via building evaluation metrics, manual manipulation and decision visualization","author":"Cheng","year":"2022"},{"key":"10.1016\/j.neunet.2026.109448_bib0008","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"7308","article-title":"Part-based pseudo label refinement for unsupervised person re-identification","author":"Cho","year":"2022"},{"key":"10.1016\/j.neunet.2026.109448_bib0009","series-title":"Proceedings of the Asian conference on computer vision","first-page":"1142","article-title":"Cluster contrast for unsupervised person re-identification","author":"Dai","year":"2022"},{"key":"10.1016\/j.neunet.2026.109448_bib0010","series-title":"Proceedings of the ACM SIGKDD 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"},{"issue":"4","key":"10.1016\/j.neunet.2026.109448_bib0011","doi-asserted-by":"crossref","first-page":"1849","DOI":"10.1109\/TCYB.2019.2909480","article-title":"Person reidentification via unsupervised cross-view metric learning","volume":"51","author":"Feng","year":"2021","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.neunet.2026.109448_bib0012","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"6112","article-title":"Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification","author":"Fu","year":"2019"},{"key":"10.1016\/j.neunet.2026.109448_bib0013","series-title":"Advances in neural information processing systems","first-page":"11309","article-title":"Self-paced contrastive learning with hybrid memory for domain adaptive object re-id","volume":"vol. 33","author":"Ge","year":"2020"},{"key":"10.1016\/j.neunet.2026.109448_bib0014","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"2","key":"10.1016\/j.neunet.2026.109448_bib0015","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.1109\/TITS.2023.3314453","article-title":"Spatial and temporal dual-attention for unsupervised person re-identification","volume":"25","author":"He","year":"2023","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"10.1016\/j.neunet.2026.109448_bib0016","doi-asserted-by":"crossref","first-page":"5144","DOI":"10.1109\/TIP.2024.3456008","article-title":"Disentangled sample guidance learning for unsupervised person re-identification","volume":"33","author":"Ji","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109448_bib0017","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"3661","article-title":"Meta pairwise relationship distillation for unsupervised person re-identification","author":"Ji","year":"2021"},{"issue":"5","key":"10.1016\/j.neunet.2026.109448_bib0018","doi-asserted-by":"crossref","first-page":"9165","DOI":"10.1109\/TNNLS.2024.3409685","article-title":"Meta pairwise relationship distillation for unsupervised person re-identification","volume":"36","author":"Ji","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2026.109448_bib0019","doi-asserted-by":"crossref","first-page":"3338","DOI":"10.1109\/TIP.2023.3278860","article-title":"Learning to purification for unsupervised person re-identification","volume":"32","author":"Lan","year":"2023","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109448_bib0020","doi-asserted-by":"crossref","first-page":"3918","DOI":"10.1109\/TPAMI.2020.2991050","article-title":"Maximum density divergence for domain adaptation","volume":"43","author":"Li","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.neunet.2026.109448_bib0021","doi-asserted-by":"crossref","first-page":"7149","DOI":"10.1109\/TCSVT.2024.3371088","article-title":"Distribution-guided hierarchical calibration contrastive network for unsupervised person re-identification","volume":"34","author":"Li","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109448_bib0022","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"8738","article-title":"A bottom-up clustering approach to unsupervised person re-identification","volume":"vol. 33","author":"Lin","year":"2019"},{"key":"10.1016\/j.neunet.2026.109448_bib0023","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"3390","article-title":"Unsupervised person re-identification via softened similarity learning","author":"Lin","year":"2020"},{"key":"10.1016\/j.neunet.2026.109448_bib0024","series-title":"Proceedings of the IEEE international conference on acoustics, speech and signal processing","first-page":"11105","article-title":"Multi queue for unsupervised person re-identification","volume":"vol. 15","author":"Lin","year":"2025"},{"issue":"11","key":"10.1016\/j.neunet.2026.109448_bib0025","doi-asserted-by":"crossref","first-page":"19879","DOI":"10.1109\/TNNLS.2025.3591116","article-title":"Find hidden modality divergence: Adversarial aware learning for unsupervised visible-infrared person re-identification","volume":"36","author":"Liu","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2026.109448_bib0026","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"12300","article-title":"One for dozens: Adaptive recommendation for all domains with counterfactual augmentation","volume":"vol. 39","author":"Luo","year":"2025"},{"key":"10.1016\/j.neunet.2026.109448_bib0027","doi-asserted-by":"crossref","first-page":"6471","DOI":"10.1109\/TIFS.2024.3414310","article-title":"Confidence-guided centroids for unsupervised person re-identification","volume":"19","author":"Miao","year":"2024","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109448_bib0028","doi-asserted-by":"crossref","first-page":"2706","DOI":"10.1109\/TCSVT.2023.3310015","article-title":"Cross-modality hierarchical clustering and refinement for unsupervised visible-infrared person re-identification","volume":"34","author":"Pang","year":"2024","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109448_bib0029","doi-asserted-by":"crossref","first-page":"2944","DOI":"10.1109\/TIFS.2025.3550063","article-title":"Joint augmentation and part learning for unsupervised clothing change person re-identification","volume":"20","author":"Pang","year":"2025","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109448_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2024.106477","article-title":"Clothing-invariant contrastive learning for unsupervised person re-identification","volume":"178","author":"Pang","year":"2024","journal-title":"Neural Networks"},{"issue":"10","key":"10.1016\/j.neunet.2026.109448_bib0031","doi-asserted-by":"crossref","first-page":"5802","DOI":"10.1109\/TCSVT.2023.3258917","article-title":"Adaptive memorization with group labels for unsupervised person re-identification","volume":"33","author":"Peng","year":"2023","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109448_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110360","article-title":"Adapt only once: Fast unsupervised person re-identification via relevance-aware guidance","volume":"150","author":"Peng","year":"2024","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.neunet.2026.109448_bib0033","series-title":"Proceedings of the british machine vision conference","first-page":"21.1","article-title":"Person re-identification by support vector ranking","author":"Prosser","year":"2010"},{"key":"10.1016\/j.neunet.2026.109448_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111217","article-title":"Camera-aware graph multi-domain adaptive learning for unsupervised person re-identification","volume":"161","author":"Ran","year":"2025","journal-title":"Pattern Recognition"},{"issue":"4","key":"10.1016\/j.neunet.2026.109448_bib0035","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1073\/pnas.0706851105","article-title":"Maps of random walks on complex networks reveal community structure","volume":"105","author":"Rosvall","year":"2008","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"10.1016\/j.neunet.2026.109448_bib0036","doi-asserted-by":"crossref","first-page":"4323","DOI":"10.1109\/TMM.2022.3174414","article-title":"Hybrid contrastive learning for unsupervised person re-identification","volume":"25","author":"Si","year":"2022","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.neunet.2026.109448_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.neunet.2025.108292","article-title":"Unsupervised person re-identification via camera-aware multi-level label refinement","volume":"195","author":"Tang","year":"2026","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109448_bib0038","doi-asserted-by":"crossref","first-page":"6705","DOI":"10.1109\/TIP.2024.3514360","article-title":"Unsupervised learning of intrinsic semantics with diffusion model for person re-identification","volume":"33","author":"Tao","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109448_bib0039","doi-asserted-by":"crossref","first-page":"11417","DOI":"10.1109\/TIFS.2025.3607258","article-title":"Unsupervised domain adaptation person re-identification: Bridged by feature fusion transitional domain","volume":"20","author":"Tian","year":"2025","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109448_bib0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.111026","article-title":"Cluster-based dual-branch contrastive learning for unsupervised domain adaptation person re-identification","volume":"280","author":"Tian","year":"2023","journal-title":"Knowledge-Based Systems"},{"issue":"2","key":"10.1016\/j.neunet.2026.109448_bib0041","doi-asserted-by":"crossref","first-page":"2137","DOI":"10.1109\/TCSVT.2025.3609570","article-title":"Part-based feature complementary denoising for unsupervised person re-identification","volume":"36","author":"Tian","year":"2026","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"10.1016\/j.neunet.2026.109448_bib0042","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"10981","article-title":"Unsupervised person re-identification via multi-label classification","author":"Wang","year":"2020"},{"key":"10.1016\/j.neunet.2026.109448_bib0043","doi-asserted-by":"crossref","first-page":"3222","DOI":"10.1109\/TIFS.2023.3277694","article-title":"Pseudo-label noise prevention, suppression and softening for unsupervised person re-identification","volume":"18","author":"Wang","year":"2023","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109448_bib0044","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"2764","article-title":"Camera-aware proxies for unsupervised person re-identification","volume":"vol. 35","author":"Wang","year":"2021"},{"key":"10.1016\/j.neunet.2026.109448_bib0045","doi-asserted-by":"crossref","first-page":"714","DOI":"10.1109\/TMM.2023.3270636","article-title":"Relation-preserving feature embedding for unsupervised person re-identification","volume":"26","author":"Wang","year":"2023","journal-title":"IEEE Transactions on Multimedia"},{"issue":"10","key":"10.1016\/j.neunet.2026.109448_bib0046","doi-asserted-by":"crossref","first-page":"3006","DOI":"10.1109\/TCYB.2017.2755044","article-title":"Person reidentification via discrepancy matrix and matrix metric","volume":"48","author":"Wang","year":"2018","journal-title":"IEEE Transactions on Cybernetics"},{"issue":"10","key":"10.1016\/j.neunet.2026.109448_bib0047","doi-asserted-by":"crossref","first-page":"10988","DOI":"10.1109\/TCYB.2022.3183395","article-title":"RBDF: Reciprocal bidirectional framework for visible infrared person reidentification","volume":"52","author":"Wei","year":"2022","journal-title":"IEEE Transactions on Cybernetics"},{"key":"10.1016\/j.neunet.2026.109448_bib0048","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.neunet.2020.05.015","article-title":"An end-to-end exemplar association for unsupervised person re-identification","volume":"129","author":"Wu","year":"2020","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109448_bib0049","doi-asserted-by":"crossref","first-page":"6896","DOI":"10.1109\/TMM.2025.3590938","article-title":"Adaptive clustering and weighted regularization contrastive learning framework for unsupervised person re-Identification","volume":"27","author":"Xiong","year":"2025","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.neunet.2026.109448_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103701","article-title":"DSFNet: Dual-fusion network with secondary clustering and feature integration for unsupervised person re-identification","volume":"127","author":"Xiong","year":"2026","journal-title":"Information Fusion"},{"key":"10.1016\/j.neunet.2026.109448_bib0051","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"11926","article-title":"Intra-inter camera similarity for unsupervised person re-identification","author":"Xuan","year":"2021"},{"issue":"3","key":"10.1016\/j.neunet.2026.109448_bib0052","doi-asserted-by":"crossref","first-page":"1711","DOI":"10.1109\/TPAMI.2022.3163451","article-title":"Intra-inter domain similarity for unsupervised person re-identification","volume":"46","author":"Xuan","year":"2024","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"issue":"4","key":"10.1016\/j.neunet.2026.109448_bib0053","doi-asserted-by":"crossref","first-page":"5608","DOI":"10.1109\/TCSVT.2025.3632324","article-title":"Nearest neighbor sample constraint and ODE guided feature reconstruction for unsupervised person re-identification","volume":"36","author":"Yang","year":"2026","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"issue":"9","key":"10.1016\/j.neunet.2026.109448_bib0054","doi-asserted-by":"crossref","first-page":"16774","DOI":"10.1109\/TNNLS.2025.3563645","article-title":"Dynamic modality-camera-invariant clustering for unsupervised visible-infrared person re-identification","volume":"36","author":"Yang","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"3","key":"10.1016\/j.neunet.2026.109448_bib0055","doi-asserted-by":"crossref","first-page":"4220","DOI":"10.1109\/TNNLS.2021.3128269","article-title":"Pixel and feature transfer fusion for unsupervised cross-dataset person reidentification","volume":"36","author":"Yang","year":"2025","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2026.109448_bib0056","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":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.neunet.2026.109448_bib0057","doi-asserted-by":"crossref","first-page":"2309","DOI":"10.1109\/TIP.2023.3266166","article-title":"A real-time memory updating strategy for unsupervised person re-identification","volume":"32","author":"Yin","year":"2023","journal-title":"IEEE Transactions on Image Processing"},{"key":"10.1016\/j.neunet.2026.109448_bib0058","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"2148","article-title":"Unsupervised person re-identification by soft multilabel learning","author":"Yu","year":"2019"},{"issue":"1","key":"10.1016\/j.neunet.2026.109448_bib0059","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1109\/TNNLS.2022.3179133","article-title":"Anchor association learning for unsupervised video person re-identification","volume":"35","author":"Zeng","year":"2024","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"key":"10.1016\/j.neunet.2026.109448_bib0060","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1016\/j.neunet.2023.11.001","article-title":"Asymmetric double networks mutual teaching for unsupervised person re-identification","volume":"169","author":"Zhang","year":"2024","journal-title":"Neural Networks"},{"key":"10.1016\/j.neunet.2026.109448_bib0061","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"7369","article-title":"Implicit sample extension for unsupervised person re-identification","author":"Zhang","year":"2022"},{"key":"10.1016\/j.neunet.2026.109448_bib0062","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1109\/TIFS.2023.3322600","article-title":"Masked face transformer","volume":"19","author":"Zhao","year":"2023","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"10.1016\/j.neunet.2026.109448_bib0063","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"1116","article-title":"Scalable person re-identification: A benchmark","author":"Zheng","year":"2015"},{"key":"10.1016\/j.neunet.2026.109448_bib0064","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"8371","article-title":"Online pseudo label generation by hierarchical cluster dynamics for adaptive person re-identification","author":"Zheng","year":"2021"},{"key":"10.1016\/j.neunet.2026.109448_bib0065","series-title":"Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition","first-page":"2138","article-title":"Joint discriminative and generative learning for person re-identification","author":"Zheng","year":"2019"},{"key":"10.1016\/j.neunet.2026.109448_bib0066","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"3754","article-title":"Unlabeled samples generated by GAN improve the person re-identification baseline in vitro","author":"Zheng","year":"2017"},{"key":"10.1016\/j.neunet.2026.109448_bib0067","doi-asserted-by":"crossref","first-page":"7359","DOI":"10.1109\/TMM.2024.3366395","article-title":"Dual knowledge distillation on multiview pseudo labels for unsupervised person re-identification","volume":"26","author":"Zhu","year":"2024","journal-title":"IEEE Transactions on Multimedia"},{"key":"10.1016\/j.neunet.2026.109448_bib0068","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"11058","article-title":"Discrepant and multi-instance proxies for unsupervised person re-identification","author":"Zou","year":"2023"}],"container-title":["Neural Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026009068?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0893608026009068?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,11]],"date-time":"2026-10-11T02:29:59Z","timestamp":1791685799000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0893608026009068"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":68,"alternative-id":["S0893608026009068"],"URL":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109448","relation":{},"ISSN":["0893-6080"],"issn-type":[{"value":"0893-6080","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Synergistic optimization of camera-aware disentanglement and consistency learning for unsupervised person re-identification","name":"articletitle","label":"Article Title"},{"value":"Neural Networks","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neunet.2026.109448","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"109448"}}