{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T12:02:40Z","timestamp":1784894560616,"version":"3.55.0"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"6","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.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"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":["Multimedia Systems"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1007\/s00530-026-02490-9","type":"journal-article","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T11:34:55Z","timestamp":1784028895000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Quality-prior mamba fusion network for multi-modal vehicle re-identification"],"prefix":"10.1007","volume":"32","author":[{"given":"Xiaolu","family":"Cui","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiabao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuang","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,14]]},"reference":[{"key":"2490_CR1","doi-asserted-by":"publisher","first-page":"5068","DOI":"10.1109\/TIP.2025.3592575","volume":"5083","author":"W Dong","year":"2025","unstructured":"Dong, W., Yang, X., Cheng, D., Wang, N., Gao, X.: Escaping modal interactions: An efficient DESANet for multi-modal object re-identification. IEEE Transactions on Image Processing 5083, 5068\u20135083 (2025)","journal-title":"IEEE Transactions on Image Processing"},{"key":"2490_CR2","doi-asserted-by":"crossref","unstructured":"Wang, Z., Li, C.L., Zheng, A.H., He, R., Tang, J.: Interact, embed, and enlarge: Boosting modality-specific representations for multi-modal person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 2633\u20132641 (2022)","DOI":"10.1609\/aaai.v36i3.20165"},{"key":"2490_CR3","doi-asserted-by":"crossref","unstructured":"Wang, Y.H., Liu, Y., Zheng, A.H., Zhang, P.: DeMo: Decoupled feature-based mixture of experts for multi-modal object re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 8141\u20138149 (2025)","DOI":"10.1609\/aaai.v39i8.32878"},{"key":"2490_CR4","doi-asserted-by":"crossref","unstructured":"Li, H., Li, C., Zhu, X., Zheng, A.H., Luo, B.: Multi-spectral vehicle re-identification: A challenge. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 11345\u201311353 (2020)","DOI":"10.1609\/aaai.v34i07.6796"},{"key":"2490_CR5","doi-asserted-by":"crossref","unstructured":"Wang, Y.H., Liu, X.H., Zhang, P.P., Lu, H., Tu, Z.Z., Lu, H.C.: TOP-ReID: Multi-spectral object re-identification with token permutation. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 5758\u20135766 (2024)","DOI":"10.1609\/aaai.v38i6.28388"},{"key":"2490_CR6","doi-asserted-by":"crossref","unstructured":"Zhang, P.P., Wang, Y.H., Liu, Y., Tu, Z.Z., Lu, H.C.: Magic tokens: Select diverse tokens for multi-modal object re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 17117\u201317126 (2024)","DOI":"10.1109\/CVPR52733.2024.01620"},{"issue":"14","key":"2490_CR7","doi-asserted-by":"publisher","first-page":"4639","DOI":"10.3390\/s24144639","volume":"24","author":"RJ Zhang","year":"2024","unstructured":"Zhang, R.J., Xu, L.Z., Yang, S., Wang, L.: MambaReID: Exploiting vision mamba for multi-modal object re-identification. Sensors. 24(14), 4639 (2024)","journal-title":"Sensors"},{"key":"2490_CR8","doi-asserted-by":"crossref","unstructured":"Wang, Y.H., Liu, X.H., Yan, T.Y., Liu, Y., Zheng, A.H., Zhang, P.P., Lu, H.C.: MambaPro: Multi-modal object re-identification with mamba aggregation and synergistic prompt. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 8150\u20138158 (2025)","DOI":"10.1609\/aaai.v39i8.32879"},{"key":"2490_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102800","volume":"102800","author":"AH Zheng","year":"2025","unstructured":"Zheng, A.H., Ma, Z.Q., Sun, Y.Q., Wang, Z., Li, C.L., Tang, J.: Flare-aware cross-modal enhancement network for multi-spectral vehicle re-identification. Information Fusion 102800, 102800 (2025)","journal-title":"Information Fusion"},{"key":"2490_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101901","volume":"101901","author":"AH Zheng","year":"2023","unstructured":"Zheng, A.H., Zhu, X.P., Li, C.L., Tang, J., Ma, J.X.: Cross-directional consistency network with adaptive layer normalization for multi-spectral vehicle re-identification and a high-quality benchmark. Information Fusion 101901, 101901 (2023)","journal-title":"Information Fusion"},{"key":"2490_CR11","doi-asserted-by":"crossref","unstructured":"Gray, D., Tao, H.: Viewpoint invariant pedestrian recognition with an ensemble of localized features. In: Computer Vision \u2013 ECCV 2008, pp 262\u2013275 (2008)","DOI":"10.1007\/978-3-540-88682-2_21"},{"key":"2490_CR12","doi-asserted-by":"crossref","unstructured":"Zheng, W.S., Gong, S., Xiang, T.: Person re-identification by probabilistic relative distance comparison. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 649\u2013656 (2011)","DOI":"10.1109\/CVPR.2011.5995598"},{"key":"2490_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.111455","volume":"111455","author":"HY Zhang","year":"2024","unstructured":"Zhang, H.Y., Kuang, Z.Y., Cheng, L.D., Liu, Y.H., Ding, X.H., Huang, Y.: AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification. Knowledge-Based Systems 111455, 111455 (2024)","journal-title":"Knowledge-Based Systems"},{"key":"2490_CR14","doi-asserted-by":"crossref","unstructured":"Sun, Y., Zheng, L., Yang, Y., Tian, Q., Wang, S.: Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline). In: Computer Vision \u2013 ECCV 2018, pp 480\u2013496 (2018)","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"2490_CR15","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 (ICCV), pp 15013\u201315022 (2021)","DOI":"10.1109\/ICCV48922.2021.01474"},{"issue":"12","key":"2490_CR16","doi-asserted-by":"publisher","first-page":"17307","DOI":"10.1109\/TNNLS.2023.3301856","volume":"35","author":"K Zhu","year":"2024","unstructured":"Zhu, K., Guo, H., Zhang, S., Wang, Y., Liu, J., Wang, J.: AAformer: Auto-aligned transformer for person re-identification. IEEE Trans. Neural Netw. Learn. Syst. 35(12), 17307\u201317317 (2024)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"2490_CR17","doi-asserted-by":"publisher","first-page":"100255","DOI":"10.1016\/j.array.2022.100255","volume":"16","author":"J Li","year":"2022","unstructured":"Li, J., Yu, C., Shi, J., Zhang, C., Ke, T.: Vehicle re-identification method based on Swin-Transformer network. Array. 16, 100255 (2022)","journal-title":"Array"},{"key":"2490_CR18","doi-asserted-by":"crossref","unstructured":"Nguyen, V.D., Mantini, P., Shah, S.K.: CrossViT-ReID: Cross-attention vision transformer for occluded cloth-changing person re-identification. In: Computer Vision \u2013 ACCV 2024, pp 44\u201362 (2024)","DOI":"10.1007\/978-981-96-0885-0_3"},{"issue":"6","key":"2490_CR19","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1109\/TMM.2021.3074239","volume":"24","author":"K Yang","year":"2022","unstructured":"Yang, K., He, Z., Pei, W., Zhou, Z., Li, X., Yuan, D., Zhang, H.: SiamCorners: Siamese corner networks for visual tracking. IEEE Trans. Multimedia 24(6), 1956\u20131967 (2022)","journal-title":"IEEE Trans. Multimedia"},{"key":"2490_CR20","doi-asserted-by":"publisher","first-page":"106380","DOI":"10.1016\/j.neunet.2024.106380","volume":"176","author":"K Yang","year":"2024","unstructured":"Yang, K., Li, Q., Tian, C., Zhang, H., Shi, A., Li, J.: DeforT: Deformable transformer for visual tracking. Neural Netw. 176, 106380 (2024)","journal-title":"Neural Netw."},{"key":"2490_CR21","doi-asserted-by":"publisher","first-page":"108719","DOI":"10.1016\/j.neunet.2026.108719","volume":"198","author":"YH Yan","year":"2026","unstructured":"Yan, Y.H., Gao, M.J., Bai, Y., Chen, X., Sun, B.Z., Sun, H.Y., Chen, S.B.: SD2-ReID: A semantic-stylistic decoupled distillation framework for robust multi-modal object re-identification. Neural Netw. 198, 108719 (2026)","journal-title":"Neural Netw."},{"key":"2490_CR22","doi-asserted-by":"publisher","first-page":"126921","DOI":"10.1016\/j.eswa.2025.126921","volume":"274","author":"Z Yu","year":"2025","unstructured":"Yu, Z., Huang, Z.Y., Hou, M.Y., Yan, Y., Liu, Y.S.: WTSF-ReID: Depth-driven window-oriented token selection and fusion for multi-modality vehicle re-identification with knowledge consistency constraint. Expert Syst. Appl. 274, 126921 (2025)","journal-title":"Expert Syst. Appl."},{"key":"2490_CR23","doi-asserted-by":"crossref","unstructured":"Tie, Z., Fan, H., Tao, L., Chen, Y., Sheng, H., Ke, W.: Multi-scale feature fusion for cross-modality person re-identification: The MSJLNet approach. The Visual Computer (2026)","DOI":"10.21203\/rs.3.rs-7187927\/v1"},{"key":"2490_CR24","doi-asserted-by":"crossref","unstructured":"Ngo, B.H., Bui, D.C., Do-Tran, N.T., Choi, T.J.: HiGDA: Hierarchical graph of nodes to learn local-to-global topology for semi-supervised domain adaptation. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 6191\u20136199 (2025)","DOI":"10.1609\/aaai.v39i6.32662"},{"key":"2490_CR25","first-page":"5602716","volume":"63","author":"Z Li","year":"2025","unstructured":"Li, Z., Hu, J., Wu, K., Miao, J., Wu, J.: Comprehensive attribute difference attention network for remote sensing image semantic understanding. IEEE Trans. Geosci. Remote Sens. 63, 5602716 (2025)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2490_CR26","first-page":"5523119","volume":"62","author":"Z Li","year":"2024","unstructured":"Li, Z., Hu, J., Wu, K., Miao, J., Wu, J.: Adjacent-atrous mechanism for expanding global receptive fields: An end-to-end network for multiattribute scene analysis in remote sensing imagery. IEEE Trans. Geosci. Remote Sens. 62, 5523119 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2490_CR27","doi-asserted-by":"crossref","unstructured":"Tian, X., Zhang, Z., Lin, S., Qu, Y., Xie, Y., Ma, L.: Farewell to mutual information: Variational distillation for cross-modality person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 150\u2013159 (2021)","DOI":"10.1109\/CVPR46437.2021.00157"},{"key":"2490_CR28","doi-asserted-by":"publisher","first-page":"110455","DOI":"10.1016\/j.patcog.2024.110455","volume":"152","author":"Y Xie","year":"2024","unstructured":"Xie, Y., Wu, H., Lin, Y., Zhu, J., Zeng, H.: Pairwise difference relational distillation for object re-identification. Pattern Recogn. 152, 110455 (2024)","journal-title":"Pattern Recogn."},{"key":"2490_CR29","doi-asserted-by":"publisher","first-page":"115015","DOI":"10.1016\/j.knosys.2025.115015","volume":"334","author":"Y Sheng","year":"2026","unstructured":"Sheng, Y., Ding, Y., Zheng, A., Liu, Z., Wang, Z., Tang, J.: Multi-level alignment network for unsupervised domain adaptive multi-modality object re-identification. Knowl. Based Syst. 334, 115015 (2026)","journal-title":"Knowl. Based Syst."},{"key":"2490_CR30","doi-asserted-by":"crossref","unstructured":"Wang, Y., Lv, Y., Zhang, P., Lu, H.: IDEA: Inverted text with cooperative deformable aggregation for multi-modal object re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 2765\u20132774 (2025)","DOI":"10.1109\/CVPR52734.2025.02765"},{"key":"2490_CR31","doi-asserted-by":"crossref","unstructured":"Zheng, A., Gao, Y., Li, S., Li, C., Tang, J.: DCG ReID: Disentangling collaboration and guidance fusion representations for multi-modal vehicle re-identification. arXiv preprint arXiv:260102924 (2026)","DOI":"10.1109\/TCSVT.2026.3714463"},{"key":"2490_CR32","doi-asserted-by":"publisher","first-page":"115416","DOI":"10.1016\/j.knosys.2026.115416","volume":"335","author":"Z Li","year":"2026","unstructured":"Li, Z., Zhang, Y., Hu, J., Wu, K., Miao, J., Wu, J., Zhang, X., Yang, B., Xia, Z.: HDC-Net: A multimodal remote sensing semantic segmentation network with hierarchical dual-stream fusion and cross-token interaction. Knowl. Based Syst. 335, 115416 (2026)","journal-title":"Knowl. Based Syst."},{"key":"2490_CR33","doi-asserted-by":"publisher","first-page":"113625","DOI":"10.1016\/j.patcog.2026.113625","volume":"173","author":"Z Li","year":"2026","unstructured":"Li, Z., Hu, J., Guan, W., Miao, J., Wu, K., Xia, Z., Yang, B., Wu, J.: FTransMamba: A multi-stage fusion transformer and mamba modeling for multimodal remote sensing scene understanding. Pattern Recogn. 173, 113625 (2026)","journal-title":"Pattern Recogn."},{"key":"2490_CR34","first-page":"5640916","volume":"63","author":"Z Li","year":"2025","unstructured":"Li, Z., Hu, J., Yang, B., Wu, K., Wu, J.: MNDAF-Net: Multiscale neighborhood decoupling and attribute-focused fusion for dual-temporal remote sensing image scene change detection network. IEEE Trans. Geosci. Remote Sens. 63, 5640916 (2025)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"2490_CR35","doi-asserted-by":"crossref","unstructured":"Bui, D.C., Le, T.V., Ngo, B.H.: C2T-Net: Channel-aware cross-fused transformer-style networks for pedestrian attribute recognition. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, pp 351\u2013358 (2024)","DOI":"10.1109\/WACVW60836.2024.00043"},{"key":"2490_CR36","unstructured":"Zheng, A., Zhu, X., Ma, Z., Li, C., Tang, J., Ma, J.: Multi-spectral vehicle re-identification with cross directional consistency network and a high-quality benchmark. arXiv preprint arXiv:220800632 (2022)"},{"key":"2490_CR37","doi-asserted-by":"crossref","unstructured":"Wang, Z., Wang, Z., Zheng, Y., Chuang, Y.Y., Satoh, S.: Learning to reduce dual-level discrepancy for infrared-visible person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp 71\u201380 (2019)","DOI":"10.1109\/CVPR.2019.00071"},{"key":"2490_CR38","doi-asserted-by":"crossref","unstructured":"Zheng, A., Wang, Z., Chen, Z., Li, C., Tang, J.: Robust multi modality person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp 3529\u20133537 (2021)","DOI":"10.1609\/aaai.v35i4.16467"},{"key":"2490_CR39","doi-asserted-by":"crossref","unstructured":"Wang, G., Yuan, Y., Chen, X., Li, J., Zhou, X.: Learning discriminative features with multiple granularities for person re-identification. In: Proceedings of the 26th ACM International Conference on Multimedia (ACM MM), pp 274\u2013282 (2018)","DOI":"10.1145\/3240508.3240552"},{"key":"2490_CR40","doi-asserted-by":"crossref","unstructured":"Zhou, K., Yang, Y., Cavallaro, A., Xiang, T.: Omni scale feature learning for person re-identification. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp 2792\u20132801 (2019)","DOI":"10.1109\/ICCV.2019.00380"},{"key":"2490_CR41","doi-asserted-by":"crossref","unstructured":"Luo, H., Gu, Y., Liao, X., Lai, S., Jiang, W.: Bag of tricks and a strong baseline for deep person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp 105\u2013113 (2019)","DOI":"10.1109\/CVPRW.2019.00190"},{"issue":"6","key":"2490_CR42","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/TPAMI.2021.3054775","volume":"44","author":"M Ye","year":"2022","unstructured":"Ye, M., Shen, J.B., Lin, G.J., Xiang, T., Shao, L., Hoi, S.C.H.: Deep learning for person re-identification: A survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 2872\u20132893 (2022)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2490_CR43","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., et al.: An image is worth 16\u00d716 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2021)"},{"key":"2490_CR44","doi-asserted-by":"publisher","first-page":"125716","DOI":"10.1016\/j.eswa.2024.125716","volume":"263","author":"D Wu","year":"2025","unstructured":"Wu, D., Liu, Z., Chen, Z., Gan, S., Tan, K., Wan, Q., Wang, Y.: LRMM: Low rank multi-scale multi-modal fusion for person re-identification based on RGB NI TI. Expert Syst. Appl. 263, 125716 (2025)","journal-title":"Expert Syst. Appl."},{"key":"2490_CR45","doi-asserted-by":"crossref","unstructured":"Li, S., Li, C., Zheng, A., Tang, J., Luo, B.: ICPL ReID: Identity conditional prompt learning for multi-spectral object re-identification. arXiv preprint arXiv:250517821 (2025)","DOI":"10.1109\/TMM.2025.3623556"}],"container-title":["Multimedia Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-026-02490-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00530-026-02490-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00530-026-02490-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T11:31:34Z","timestamp":1784892694000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00530-026-02490-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":45,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["2490"],"URL":"https:\/\/doi.org\/10.1007\/s00530-026-02490-9","relation":{},"ISSN":["0942-4962","1432-1882"],"issn-type":[{"value":"0942-4962","type":"print"},{"value":"1432-1882","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"31 March 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 June 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no conflicts of interest.","order":1,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","label":"Ethical approval","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"429"}}