{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T15:39:56Z","timestamp":1770392396043,"version":"3.49.0"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819557578","type":"print"},{"value":"9789819557585","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-5758-5_25","type":"book-chapter","created":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T04:59:48Z","timestamp":1770353988000},"page":"340-354","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Attention Synergy for\u00a0Robust Vehicle Re-identification: Global Gate-Enhanced Fusion and\u00a0Local Perspective-Aware Weighting"],"prefix":"10.1007","author":[{"given":"Yuqiu","family":"Deng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqing","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanxin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,7]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1109\/TMM.2023.3274369","volume":"26","author":"TT Nguyen","year":"2023","unstructured":"Nguyen, T.T., Nguyen, H.H., Sartipi, M., Fisichella, M.: Multi-vehicle multi-camera tracking with graph-based TRACKLET features. IEEE Trans. Multimedia 26, 972\u2013983 (2023)","journal-title":"IEEE Trans. Multimedia"},{"issue":"10","key":"25_CR2","doi-asserted-by":"publisher","first-page":"2597","DOI":"10.1109\/TMM.2019.2958756","volume":"22","author":"H Luo","year":"2019","unstructured":"Luo, H., et al.: A strong baseline and batch normalization neck for deep person re-identification. IEEE Trans. Multimedia 22(10), 2597\u20132609 (2019)","journal-title":"IEEE Trans. Multimedia"},{"key":"25_CR3","doi-asserted-by":"crossref","unstructured":"He, B., Li, J., Zhao, Y., Tian, Y.: Part-regularized near-duplicate vehicle re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 3997\u20134005 (2019)","DOI":"10.1109\/CVPR.2019.00412"},{"key":"25_CR4","unstructured":"Khorramshahi, P., Peri, N., Kumar, A., Shah, A., Chellappa, R.: Attention driven vehicle re-identification and unsupervised anomaly detection for traffic understanding. In: CVPR Workshops, pp. 239\u2013246 (2019)"},{"issue":"2","key":"25_CR5","first-page":"1994","volume":"24","author":"L Zefeng","year":"2022","unstructured":"Zefeng, L., Lin, R., Haifeng, H.: MART: Mask-Aware Reasoning Transformer for vehicle re-identification. IEEE Trans. Intell. Transp. Syst. 24(2), 1994\u20132009 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"9","key":"25_CR6","doi-asserted-by":"publisher","first-page":"14557","DOI":"10.1109\/TITS.2021.3130403","volume":"23","author":"W Sun","year":"2021","unstructured":"Sun, W., Dai, G., Zhang, X., He, X., Chen, X.: TBE-Net: a three-branch embedding network with part-aware ability and feature complementary learning for vehicle re-identification. IEEE Trans. Intell. Transp. Syst. 23(9), 14557\u201314569 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"25_CR7","first-page":"1","volume":"72","author":"X Chen","year":"2023","unstructured":"Chen, X., Haoze, Yu., Feng Zhao, Y.H., Li, Z.: Global-local discriminative representation learning network for viewpoint-aware vehicle re-identification in intelligent transportation. IEEE Trans. Instrum. Meas. 72, 1\u201313 (2023)","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Zeng, K., Ning, M., Wang, Y., Guo, Y.: Hierarchical clustering with hard-batch triplet loss for person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13657\u201313665 (2020)","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Yu, J., Oh, H., Kim, M., Kim, J.: Weakly supervised contrastive learning for unsupervised vehicle reidentification. IEEE Trans. Neural Netw. Learn. Syst. (2023)","DOI":"10.1109\/TNNLS.2023.3288139"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"He, S., Luo, H., Wang, P., Wang, F., Li, H., Jiang, W.: TRANSREID: transformer-based object re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 15013\u201315022 (2021)","DOI":"10.1109\/ICCV48922.2021.01474"},{"key":"25_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2023.116922","volume":"113","author":"J Peng","year":"2023","unstructured":"Peng, J., Jiazuo, Yu., Jiang, G., Wang, H., Qi, J.: Joint learning with diverse knowledge for re-identification. Sig. Process. Image Commun. 113, 116922 (2023)","journal-title":"Sig. Process. Image Commun."},{"issue":"9","key":"25_CR12","doi-asserted-by":"publisher","first-page":"11328","DOI":"10.1007\/s10489-022-04000-6","volume":"53","author":"G Jiang","year":"2023","unstructured":"Jiang, G., Pang, X., Tian, X., Zheng, Y., Meng, Q.: Global reference attention network for vehicle re-identification. Appl. Intell. 53(9), 11328\u201311343 (2023)","journal-title":"Appl. Intell."},{"key":"25_CR13","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1109\/TIP.2023.3238642","volume":"32","author":"F Shen","year":"2023","unstructured":"Shen, F., Xie, Y., Zhu, J., Zhu, X., Zeng, H.: GIT: Graph Interactive Transformer for vehicle re-identification. IEEE Trans. Image Process. 32, 1039\u20131051 (2023)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"25_CR14","first-page":"2803","volume":"25","author":"Yu Zhi","year":"2023","unstructured":"Zhi, Yu., Huang, Z., Pei, J., Tahsin, L., Sun, D.: Semantic-oriented feature coupling transformer for vehicle re-identification in intelligent transportation system. IEEE Trans. Intell. Transp. Syst. 25(3), 2803\u20132813 (2023)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Meng, D., et al.: Parsing-based view-aware embedding network for vehicle re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7103\u20137112 (2020)","DOI":"10.1109\/CVPR42600.2020.00713"},{"key":"25_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"869","DOI":"10.1007\/978-3-319-46475-6_53","volume-title":"Computer Vision \u2013 ECCV 2016","author":"X Liu","year":"2016","unstructured":"Liu, X., Liu, W., Mei, T., Ma, H.: A deep learning-based approach to progressive vehicle re-identification for urban surveillance. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 869\u2013884. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_53"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Liu, H., Tian, Y., Yang, Y., Pang, L., Huang, T.: Deep relative distance learning: tell the difference between similar vehicles. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2167\u20132175 (2016)","DOI":"10.1109\/CVPR.2016.238"},{"key":"25_CR18","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. 115, 211\u2013252 (2015)","journal-title":"Int. J. Comput. Vis."},{"issue":"7","key":"25_CR19","doi-asserted-by":"publisher","first-page":"8793","DOI":"10.1109\/TITS.2021.3086142","volume":"23","author":"F Shen","year":"2021","unstructured":"Shen, F., Zhu, J., Zhu, X., Xie, Y., Huang, J.: Exploring spatial significance via hybrid pyramidal graph network for vehicle re-identification. IEEE Trans. Intell. Transp. Syst. 23(7), 8793\u20138804 (2021)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"issue":"10","key":"25_CR20","doi-asserted-by":"publisher","first-page":"19557","DOI":"10.1109\/TITS.2022.3166463","volume":"23","author":"H Li","year":"2022","unstructured":"Li, H., Li, C., Zheng, A., Tang, J., Luo, B.: MSKAT: multi-scale knowledge-aware transformer for vehicle re-identification. IEEE Trans. Intell. Transp. Syst. 23(10), 19557\u201319568 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"25_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1007\/978-3-030-58568-6_22","volume-title":"Computer Vision \u2013 ECCV 2020","author":"P Khorramshahi","year":"2020","unstructured":"Khorramshahi, P., Peri, N., Chen, J., Chellappa, R.: The devil is in the details: self-supervised attention for vehicle re-identification. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12359, pp. 369\u2013386. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58568-6_22"},{"key":"25_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109258","volume":"137","author":"W Zhu","year":"2023","unstructured":"Zhu, W., et al.: A dual self-attention mechanism for vehicle re-identification. Pattern Recogn. 137, 109258 (2023)","journal-title":"Pattern Recogn."},{"issue":"9","key":"25_CR23","doi-asserted-by":"publisher","first-page":"15178","DOI":"10.1109\/TITS.2021.3137954","volume":"23","author":"T Mingfei","year":"2022","unstructured":"Mingfei, T., et al.: Multi-granularity mutual learning network for object re-identification. IEEE Trans. Intell. Transp. Syst. 23(9), 15178\u201315189 (2022)","journal-title":"IEEE Trans. Intell. Transp. Syst."}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5758-5_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T04:59:51Z","timestamp":1770353991000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5758-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819557578","9789819557585"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5758-5_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"7 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2025.prcv.cn\/index.asp","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}