{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T03:51:20Z","timestamp":1773114680085,"version":"3.50.1"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"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":["62202163"],"award-info":[{"award-number":["62202163"]}],"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":["62072166"],"award-info":[{"award-number":["62072166"]}],"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":["61672177"],"award-info":[{"award-number":["61672177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004735","name":"Natural Science Foundation of Hunan Province","doi-asserted-by":"publisher","award":["2022JJ40190"],"award-info":[{"award-number":["2022JJ40190"]}],"id":[{"id":"10.13039\/501100004735","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific Research Project of Hunan Provincial Department of Education","award":["22A0145"],"award-info":[{"award-number":["22A0145"]}]},{"name":"Scientific Research Project of Hunan Provincial Department of Education","award":["22A0145"],"award-info":[{"award-number":["22A0145"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s11280-024-01298-9","type":"journal-article","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:30:05Z","timestamp":1724409005000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["MvHAAN: multi-view hierarchical attention adversarial network for person re-identification"],"prefix":"10.1007","volume":"27","author":[{"given":"Lei","family":"Zhu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiren","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinghui","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yangding","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shichao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,8,22]]},"reference":[{"issue":"9","key":"1298_CR1","doi-asserted-by":"publisher","first-page":"3391","DOI":"10.1109\/TCSVT.2020.3043026","volume":"31","author":"X Ning","year":"2020","unstructured":"Ning, X., Gong, K., Li, W., Zhang, L., Bai, X., Tian, S.: Feature refinement and filter network for person re-identification. IEEE Trans. Circuits Syst. Video Technol. 31(9), 3391\u20133402 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1298_CR2","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neucom.2019.12.094","volume":"387","author":"C Zhang","year":"2020","unstructured":"Zhang, C., Zhu, L., Zhang, S., Yu, W.: Pac-gan: an effective pose augmentation scheme for unsupervised cross-view person re-identification. Neurocomputing 387, 22\u201339 (2020)","journal-title":"Neurocomputing"},{"key":"1298_CR3","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1016\/j.patcog.2017.08.029","volume":"73","author":"L Wu","year":"2018","unstructured":"Wu, L., Wang, Y., Gao, J., Li, X.: Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recogn. 73, 275\u2013288 (2018)","journal-title":"Pattern Recogn."},{"key":"1298_CR4","doi-asserted-by":"crossref","unstructured":"Li, D., Chen, X., Zhang, Z., Huang, K.: Learning deep context-aware features over body and latent parts for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 384\u2013393 (2017)","DOI":"10.1109\/CVPR.2017.782"},{"key":"1298_CR5","doi-asserted-by":"crossref","unstructured":"Bak, S., Carr, P.: One-shot metric learning for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2990\u20132999 (2017)","DOI":"10.1109\/CVPR.2017.171"},{"issue":"7","key":"1298_CR6","first-page":"2081","volume":"30","author":"L Wu","year":"2019","unstructured":"Wu, L., Hong, R., Wang, Y., Wang, M.: Cross-entropy adversarial view adaptation for person re-identification. IEEE Trans. Circuits Syst. Video Technol. 30(7), 2081\u20132092 (2019)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1298_CR7","doi-asserted-by":"crossref","unstructured":"Zhao, L., Li, X., Zhuang, Y., Wang, J.: Deeply-learned part-aligned representations for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3219\u20133228 (2017)","DOI":"10.1109\/ICCV.2017.349"},{"key":"1298_CR8","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.patcog.2018.11.025","volume":"88","author":"X Xin","year":"2019","unstructured":"Xin, X., Wang, J., Xie, R., Zhou, S., Huang, W., Zheng, N.: Semi-supervised person re-identification using multi-view clustering. Pattern Recogn. 88, 285\u2013297 (2019)","journal-title":"Pattern Recogn."},{"key":"1298_CR9","doi-asserted-by":"crossref","unstructured":"Wang, F., Zuo, W., Lin, L., Zhang, D., Zhang, L.: 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 (2016)","DOI":"10.1109\/CVPR.2016.144"},{"issue":"10","key":"1298_CR10","doi-asserted-by":"publisher","first-page":"3006","DOI":"10.1109\/TCYB.2017.2755044","volume":"48","author":"Z Wang","year":"2017","unstructured":"Wang, Z., Hu, R., Chen, C., Yu, Y., Jiang, J., Liang, C., Satoh, S.: Person reidentification via discrepancy matrix and matrix metric. IEEE transactions on cybernetics 48(10), 3006\u20133020 (2017)","journal-title":"IEEE transactions on cybernetics"},{"issue":"3","key":"1298_CR11","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/TCSVT.2016.2586851","volume":"27","author":"J Wang","year":"2016","unstructured":"Wang, J., Wang, Z., Gao, C., Sang, N., Huang, R.: Deeplist: Learning deep features with adaptive listwise constraint for person reidentification. IEEE Trans. Circuits Syst. Video Technol. 27(3), 513\u2013524 (2016)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1298_CR12","doi-asserted-by":"crossref","unstructured":"Zhao, R., Ouyang, W., Wang, X.: Unsupervised salience learning for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3586\u20133593 (2013)","DOI":"10.1109\/CVPR.2013.460"},{"key":"1298_CR13","doi-asserted-by":"crossref","unstructured":"Yu, H.-X., Wu, A., Zheng, W.-S.: Cross-view asymmetric metric learning for unsupervised person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 994\u20131002 (2017)","DOI":"10.1109\/ICCV.2017.113"},{"key":"1298_CR14","doi-asserted-by":"crossref","unstructured":"Zheng, Z., Zheng, L., Yang, Y.: 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 (2017)","DOI":"10.1109\/ICCV.2017.405"},{"key":"1298_CR15","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.neucom.2019.01.093","volume":"340","author":"C Zhang","year":"2019","unstructured":"Zhang, C., Wu, L., Wang, Y.: Crossing generative adversarial networks for cross-view person re-identification. Neurocomputing 340, 259\u2013269 (2019)","journal-title":"Neurocomputing"},{"key":"1298_CR16","doi-asserted-by":"publisher","first-page":"20687","DOI":"10.1007\/s11042-021-10671-z","volume":"80","author":"G Zhang","year":"2021","unstructured":"Zhang, G., Jiang, T., Yang, J., Xu, J., Zheng, Y.: Cross-view kernel collaborative representation classification for person re-identification. Multimedia Tools and Applications 80, 20687\u201320705 (2021)","journal-title":"Multimedia Tools and Applications"},{"key":"1298_CR17","doi-asserted-by":"crossref","unstructured":"Li, Y., Yao, H., Zhang, T., Xu, C.: Part-based structured representation learning for person re-identification. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 16(4), 1\u201322 (2020)","DOI":"10.1145\/3412384"},{"key":"1298_CR18","doi-asserted-by":"crossref","unstructured":"Suh, Y., Wang, J., Tang, S., Mei, T., Lee, K.M.: Part-aligned bilinear representations for person re-identification. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 402\u2013419 (2018)","DOI":"10.1007\/978-3-030-01264-9_25"},{"key":"1298_CR19","doi-asserted-by":"crossref","unstructured":"Hou, R., Ma, B., Chang, H., Gu, X., Shan, S., Chen, X.: Interaction-and-aggregation network for person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9317\u20139326 (2019)","DOI":"10.1109\/CVPR.2019.00954"},{"key":"1298_CR20","doi-asserted-by":"publisher","first-page":"2393","DOI":"10.1109\/TMM.2022.3146775","volume":"25","author":"Y Peng","year":"2023","unstructured":"Peng, Y., Jiao, J., Feng, X., Zheng, W.: Consistent discrepancy learning for intra-camera supervised person re-identification. IEEE Trans. Multim. 25, 2393\u20132403 (2023)","journal-title":"IEEE Trans. Multim."},{"key":"1298_CR21","unstructured":"Andrew, G., Arora, R., Bilmes, J., Livescu, K.: Deep canonical correlation analysis. In: International Conference on Machine Learning, pp. 1247\u20131255 (2013). PMLR"},{"issue":"11","key":"1298_CR22","doi-asserted-by":"publisher","first-page":"3111","DOI":"10.1109\/TKDE.2015.2445757","volume":"27","author":"Y Luo","year":"2015","unstructured":"Luo, Y., Tao, D., Ramamohanarao, K., Xu, C., Wen, Y.: Tensor canonical correlation analysis for multi-view dimension reduction. IEEE Trans. Knowl. Data Eng. 27(11), 3111\u20133124 (2015)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1298_CR23","doi-asserted-by":"crossref","unstructured":"Chen, T., Ding, S., Xie, J., Yuan, Y., Chen, W., Yang, Y., Ren, Z., Wang, Z.: Abd-net: Attentive but diverse person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 8351\u20138361 (2019)","DOI":"10.1109\/ICCV.2019.00844"},{"key":"1298_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Zhang, H., Liu, S.: Person re-identification using heterogeneous local graph attention networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 12136\u201312145 (2021)","DOI":"10.1109\/CVPR46437.2021.01196"},{"issue":"3","key":"1298_CR25","doi-asserted-by":"publisher","first-page":"2987","DOI":"10.1007\/s10489-021-02551-8","volume":"52","author":"Z Pang","year":"2022","unstructured":"Pang, Z., Guo, J., Sun, W., Xiao, Y., Yu, M.: Cross-domain person re-identification by hybrid supervised and unsupervised learning. Appl. Intell. 52(3), 2987\u20133001 (2022)","journal-title":"Appl. Intell."},{"issue":"15","key":"1298_CR26","doi-asserted-by":"publisher","first-page":"11359","DOI":"10.1007\/s00521-023-08301-w","volume":"35","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Ge, H., Sun, L., Hou, Y.: Camera-aware progressive learning for unsupervised person re-identification. Neural Comput. Appl. 35(15), 11359\u201311371 (2023)","journal-title":"Neural Comput. Appl."},{"issue":"10","key":"1298_CR27","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1109\/TKDE.2018.2872063","volume":"31","author":"Y Li","year":"2018","unstructured":"Li, Y., Yang, M., Zhang, Z.: A survey of multi-view representation learning. IEEE Trans. Knowl. Data Eng. 31(10), 1863\u20131883 (2018)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"1298_CR28","unstructured":"Rupnik, J., Shawe-Taylor, J.: Multi-view canonical correlation analysis. In: Conference on Data Mining and Data Warehouses (SiKDD 2010), vol. 473, pp. 1\u20134 (2010)"},{"key":"1298_CR29","doi-asserted-by":"crossref","unstructured":"Zhu, L., Song, J., Wei, X., Yu, H., Long, J.: Caesar: concept augmentation based semantic representation for cross-modal retrieval. Multimed. Tool Appl. pp. 1\u201331 (2020)","DOI":"10.1007\/s11042-020-09983-3"},{"issue":"6","key":"1298_CR30","first-page":"1664","volume":"8","author":"HS Wong","year":"2021","unstructured":"Wong, H.S., Wang, L., Chan, R., Zeng, T.: Deep tensor cca for multi-view learning. IEEE Transactions on Big Data 8(6), 1664\u20131677 (2021)","journal-title":"IEEE Transactions on Big Data"},{"key":"1298_CR31","doi-asserted-by":"crossref","unstructured":"Liu, X., Liu, W., Zheng, J., Yan, C., Mei, T.: Beyond the parts: Learning multi-view cross-part correlation for vehicle re-identification. In: Proceedings of the 28th ACM International Conference on Multimedia, pp. 907\u2013915 (2020)","DOI":"10.1145\/3394171.3413578"},{"issue":"10","key":"1298_CR32","doi-asserted-by":"publisher","first-page":"5121","DOI":"10.1109\/TIP.2019.2912356","volume":"28","author":"K Jia","year":"2019","unstructured":"Jia, K., Lin, J., Tan, M., Tao, D.: Deep multi-view learning using neuron-wise correlation-maximizing regularizers. IEEE Trans. Image Process. 28(10), 5121\u20135134 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"1298_CR33","doi-asserted-by":"crossref","unstructured":"Xue, Z., Du, J., Du, D., Ren, W., Lyu, S.: Deep correlated predictive subspace learning for incomplete multi-view semi-supervised classification. In: IJCAI, pp. 4026\u20134032 (2019)","DOI":"10.24963\/ijcai.2019\/559"},{"key":"1298_CR34","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.ins.2021.02.027","volume":"564","author":"R Bai","year":"2021","unstructured":"Bai, R., Huang, R., Chen, Y., Qin, Y.: Deep multi-view document clustering with enhanced semantic embedding. Inf. Sci. 564, 273\u2013287 (2021)","journal-title":"Inf. Sci."},{"key":"1298_CR35","first-page":"12194","volume":"34","author":"H Hwang","year":"2021","unstructured":"Hwang, H., Kim, G.-H., Hong, S., Kim, K.-E.: Multi-view representation learning via total correlation objective. Adv. Neural. Inf. Process. Syst. 34, 12194\u201312207 (2021)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"1298_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119031","volume":"213","author":"J Wang","year":"2023","unstructured":"Wang, J., Wu, B., Ren, Z., Zhang, H., Zhou, Y.: Multi-scale deep multi-view subspace clustering with self-weighting fusion and structure preserving. Expert Syst. Appl. 213, 119031 (2023)","journal-title":"Expert Syst. Appl."},{"key":"1298_CR37","doi-asserted-by":"crossref","unstructured":"Li, W., Zhu, X., Gong, S.: Harmonious attention network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2285\u20132294 (2018)","DOI":"10.1109\/CVPR.2018.00243"},{"key":"1298_CR38","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Lan, C., Zeng, W., Jin, X., Chen, Z.: Relation-aware global attention for person re-identification. In: Proceedings of the Ieee\/cvf Conference on Computer Vision and Pattern Recognition, pp. 3186\u20133195 (2020)","DOI":"10.1109\/CVPR42600.2020.00325"},{"issue":"2","key":"1298_CR39","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1109\/TCSVT.2020.2980283","volume":"31","author":"S Teng","year":"2020","unstructured":"Teng, S., Zhang, S., Huang, Q., Sebe, N.: Multi-view spatial attention embedding for vehicle re-identification. IEEE Trans. Circuits Syst. Video Technol. 31(2), 816\u2013827 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1298_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109246","volume":"137","author":"A Khatun","year":"2023","unstructured":"Khatun, A., Denman, S., Sridharan, S., Fookes, C.: Pose-driven attention-guided image generation for person re-identification. Pattern Recogn. 137, 109246 (2023)","journal-title":"Pattern Recogn."},{"issue":"1","key":"1298_CR41","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1109\/TETCI.2020.3034606","volume":"5","author":"D Wu","year":"2021","unstructured":"Wu, D., Wang, C., Wu, Y., Wang, Q.-C., Huang, D.-S.: Attention deep model with multi-scale deep supervision for person re-identification. IEEE Transactions on Emerging Topics in Computational Intelligence 5(1), 70\u201378 (2021)","journal-title":"IEEE Transactions on Emerging Topics in Computational Intelligence"},{"key":"1298_CR42","doi-asserted-by":"publisher","first-page":"7663","DOI":"10.1109\/TIP.2021.3107211","volume":"30","author":"G Chen","year":"2021","unstructured":"Chen, G., Gu, T., Lu, J., Bao, J.-A., Zhou, J.: Person re-identification via attention pyramid. IEEE Trans. Image Process. 30, 7663\u20137676 (2021)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"1298_CR43","doi-asserted-by":"publisher","first-page":"3678","DOI":"10.3390\/s23073678","volume":"23","author":"S Saber","year":"2023","unstructured":"Saber, S., Meshoul, S., Amin, K., P\u0142awiak, P., Hammad, M.: A multi-attention approach for person re-identification using deep learning. Sensors 23(7), 3678 (2023)","journal-title":"Sensors"},{"key":"1298_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108567","volume":"126","author":"Y Chen","year":"2022","unstructured":"Chen, Y., Wang, H., Sun, X., Fan, B., Tang, C., Zeng, H.: Deep attention aware feature learning for person re-identification. Pattern Recogn. 126, 108567 (2022)","journal-title":"Pattern Recogn."},{"issue":"5","key":"1298_CR45","doi-asserted-by":"publisher","first-page":"1791","DOI":"10.1109\/TCYB.2018.2813971","volume":"49","author":"L Wu","year":"2018","unstructured":"Wu, L., Wang, Y., Li, X., Gao, J.: Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE transactions on cybernetics 49(5), 1791\u20131802 (2018)","journal-title":"IEEE transactions on cybernetics"},{"key":"1298_CR46","unstructured":"Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: Bengio, Y., LeCun, Y. (eds.) 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings (2015)"},{"key":"1298_CR47","unstructured":"Gray, D., Brennan, S., Tao, H.: Evaluating appearance models for recognition, reacquisition, and tracking. In: Proc. IEEE International Workshop on Performance Evaluation for Tracking and Surveillance (PETS), vol. 3, pp. 1\u20137 (2007). Citeseer"},{"key":"1298_CR48","doi-asserted-by":"crossref","unstructured":"Li, W., Zhao, R., Xiao, T., Wang, X.: Deepreid: Deep filter pairing neural network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 152\u2013159 (2014)","DOI":"10.1109\/CVPR.2014.27"},{"key":"1298_CR49","doi-asserted-by":"crossref","unstructured":"Zheng, L., Shen, L., Tian, L., Wang, S., Wang, J., Tian, Q.: Scalable person re-identification: A benchmark. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1116\u20131124 (2015)","DOI":"10.1109\/ICCV.2015.133"},{"key":"1298_CR50","doi-asserted-by":"crossref","unstructured":"Su, C., Li, J., Zhang, S., Xing, J., Gao, W., Tian, Q.: Pose-driven deep convolutional model for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3960\u20133969 (2017)","DOI":"10.1109\/ICCV.2017.427"},{"key":"1298_CR51","doi-asserted-by":"crossref","unstructured":"Zhao, H., Tian, M., Sun, S., Shao, J., Yan, J., Yi, S., Wang, X., Tang, X.: 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 (2017)","DOI":"10.1109\/CVPR.2017.103"},{"key":"1298_CR52","doi-asserted-by":"crossref","unstructured":"Zhou, J., Yu, P., Tang, W., Wu, Y.: Efficient online local metric adaptation via negative samples for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2420\u20132428 (2017)","DOI":"10.1109\/ICCV.2017.265"},{"key":"1298_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107281","volume":"228","author":"Y Li","year":"2021","unstructured":"Li, Y., Liu, L., Zhu, L., Zhang, H.: Person re-identification based on multi-scale feature learning. Knowl.-Based Syst. 228, 107281 (2021)","journal-title":"Knowl.-Based Syst."},{"key":"1298_CR54","doi-asserted-by":"crossref","unstructured":"Wang, D., Zhang, S.: Unsupervised person re-identification via multi-label classification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 10981\u201310990 (2020)","DOI":"10.1109\/CVPR42600.2020.01099"},{"key":"1298_CR55","doi-asserted-by":"crossref","unstructured":"Xuan, S., Zhang, S.: Intra-inter camera similarity for unsupervised person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11926\u201311935 (2021)","DOI":"10.1109\/CVPR46437.2021.01175"},{"key":"1298_CR56","doi-asserted-by":"crossref","unstructured":"Peng, P., Xiang, T., Wang, Y., Pontil, M., Gong, S., Huang, T., Tian, Y.: Unsupervised cross-dataset transfer learning for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1306\u20131315 (2016)","DOI":"10.1109\/CVPR.2016.146"},{"key":"1298_CR57","doi-asserted-by":"crossref","unstructured":"Chen, H., Wang, Y., Lagadec, B., Dantcheva, A., Bremond, F.: Joint generative and contrastive learning for unsupervised person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2004\u20132013 (2021)","DOI":"10.1109\/CVPR46437.2021.00204"},{"key":"1298_CR58","doi-asserted-by":"crossref","unstructured":"Ji, H., Wang, L., Zhou, S., Tang, W., Zheng, N., Hua, G.: Meta pairwise relationship distillation for unsupervised person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 3661\u20133670 (2021)","DOI":"10.1109\/ICCV48922.2021.00364"},{"key":"1298_CR59","doi-asserted-by":"crossref","unstructured":"Koestinger, M., Hirzer, M., Wohlhart, P., Roth, P.M., Bischof, H.: Large scale metric learning from equivalence constraints. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2288\u20132295 (2012). IEEE","DOI":"10.1109\/CVPR.2012.6247939"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-024-01298-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11280-024-01298-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-024-01298-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T14:14:43Z","timestamp":1726841683000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11280-024-01298-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"references-count":59,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["1298"],"URL":"https:\/\/doi.org\/10.1007\/s11280-024-01298-9","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,22]]},"assertion":[{"value":"14 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 August 2024","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 declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"59"}}