{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:29:37Z","timestamp":1760956177693,"version":"3.37.3"},"reference-count":62,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T00:00:00Z","timestamp":1668729600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T00:00:00Z","timestamp":1668729600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Research Funds of Suzhou Vocational University","award":["SVU2021YY03"],"award-info":[{"award-number":["SVU2021YY03"]}]},{"DOI":"10.13039\/501100018556","name":"Science and Technology Program of Suzhou","doi-asserted-by":"crossref","award":["SS202151, SNG2021037"],"award-info":[{"award-number":["SS202151, SNG2021037"]}],"id":[{"id":"10.13039\/501100018556","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100019595","name":"Youth and Middle-aged Scientific and Technological Innovation Leading Talents Program of the Corps","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Machine Vision and Applications"],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1007\/s00138-022-01353-3","type":"journal-article","created":{"date-parts":[[2022,11,18]],"date-time":"2022-11-18T08:30:11Z","timestamp":1668760211000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Cascaded attention-guided multi-granularity feature learning for person re-identification"],"prefix":"10.1007","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9690-3949","authenticated-orcid":false,"given":"Husheng","family":"Dong","sequence":"first","affiliation":[]},{"given":"Yuanfeng","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xun","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ligang","family":"Fang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,11,18]]},"reference":[{"key":"1353_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, E., Jones, M., Marks, T.K.: An improved deep learning architecture for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3908\u20133916 (2015)","DOI":"10.1109\/CVPR.2015.7299016"},{"key":"1353_CR2","doi-asserted-by":"crossref","unstructured":"Chen, W., Chen, X., Zhang, J., Huang, K.: Beyond triplet loss: a deep quadruplet network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 403\u2013412 (2017)","DOI":"10.1109\/CVPR.2017.145"},{"key":"1353_CR3","doi-asserted-by":"crossref","unstructured":"Chen, B., Deng, W., Hu, J.: Mixed high-order attention network for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 371\u2013381 (2019)","DOI":"10.1109\/ICCV.2019.00046"},{"key":"1353_CR4","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 International Conference on Computer Vision, pp. 8351\u20138361 (2019)","DOI":"10.1109\/ICCV.2019.00844"},{"key":"1353_CR5","doi-asserted-by":"crossref","unstructured":"Chen, X., Fu, C., Zhao, Y., Zheng, F., Song, J., Ji, R., Yang, Y.: Salience-guided cascaded suppression network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3300\u20133310 (2020)","DOI":"10.1109\/CVPR42600.2020.00336"},{"key":"1353_CR6","doi-asserted-by":"crossref","unstructured":"Chen, H., Lagadec, B., Bremond, F.: ICE: inter-instance contrastive encoding for unsupervised person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 14960\u201314969 (2021)","DOI":"10.1109\/ICCV48922.2021.01469"},{"key":"1353_CR7","doi-asserted-by":"crossref","unstructured":"Chen, P., Liu, W., Dai, P., Liu, J., Ye, Q., Xu, M., Chen, Q., Ji, R.: Occlude them all: occlusion-aware attention network for occluded person re-id. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 11833\u201311842 (2021)","DOI":"10.1109\/ICCV48922.2021.01162"},{"key":"1353_CR8","doi-asserted-by":"publisher","first-page":"108,567","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, 108,567 (2022)","journal-title":"Pattern Recogn."},{"key":"1353_CR9","doi-asserted-by":"crossref","unstructured":"Cheng, D., Gong, Y., Zhou, S., Wang, J., Zheng, N.: Person re-identification by multi-channel parts-based CNN with improved triplet loss function. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1335\u20131344 (2016)","DOI":"10.1109\/CVPR.2016.149"},{"key":"1353_CR10","doi-asserted-by":"crossref","unstructured":"Fu, Y., Wei, Y., Zhou, Y., Shi, H., Huang, G., Wang, X., Yao, Z., Huang, T.: Horizontal pyramid matching for person re-identification. In: Proceedings of AAAI Conference on Artificial Intelligence, vol.\u00a033, pp. 8295\u20138302 (2019)","DOI":"10.1609\/aaai.v33i01.33018295"},{"key":"1353_CR11","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"1353_CR12","unstructured":"Hermans, A., Beyer, L., Leibe, B.: In defense of the triplet loss for person re-identification. arXiv:1703.07737 (2017)"},{"key":"1353_CR13","doi-asserted-by":"publisher","first-page":"103,970","DOI":"10.1016\/j.imavis.2020.103970","volume":"101","author":"K Islam","year":"2020","unstructured":"Islam, K.: Person search: new paradigm of person re-identification: a survey and outlook of recent works. Image Vis. Comput. 101, 103,970 (2020)","journal-title":"Image Vis. Comput."},{"key":"1353_CR14","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":"1353_CR15","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":"1353_CR16","doi-asserted-by":"crossref","unstructured":"Li, S., Bak, S., Carr, P., Wang, X.: Diversity regularized spatiotemporal attention for video-based person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 369\u2013378 (2018)","DOI":"10.1109\/CVPR.2018.00046"},{"key":"1353_CR17","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":"1353_CR18","doi-asserted-by":"crossref","unstructured":"Li, H., Wu, G., Zheng, W.S.: Combined depth space based architecture search for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6729\u20136738 (2021)","DOI":"10.1109\/CVPR46437.2021.00666"},{"key":"1353_CR19","doi-asserted-by":"crossref","unstructured":"Li, Y., He, J., Zhang, T., Liu, X., Zhang, Y., Wu, F.: Diverse part discovery: Occluded person re-identification with part-aware transformer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2898\u20132907 (2021)","DOI":"10.1109\/CVPR46437.2021.00292"},{"issue":"8","key":"1353_CR20","doi-asserted-by":"publisher","first-page":"3140","DOI":"10.1109\/TCSVT.2020.3037179","volume":"31","author":"S Lian","year":"2020","unstructured":"Lian, S., Jiang, W., Hu, H.: Attention-aligned network for person re-identification. IEEE Trans. Circuits Syst. Video Technol. 31(8), 3140\u20133153 (2020)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1353_CR21","doi-asserted-by":"crossref","unstructured":"Liu, X., Zhao, H., Tian, M., Sheng, L., Shao, J., Yi, S., Yan, J., Wang, X.: Hydraplus-net: attentive deep features for pedestrian analysis. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 350\u2013359 (2017)","DOI":"10.1109\/ICCV.2017.46"},{"key":"1353_CR22","doi-asserted-by":"crossref","unstructured":"Luo, C., Chen, Y., Wang, N., Zhang, Z.: Spectral feature transformation for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 4976\u20134985 (2019)","DOI":"10.1109\/ICCV.2019.00508"},{"key":"1353_CR23","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 Conference on Computer Vision and Pattern Recognition Workshops (2019)","DOI":"10.1109\/CVPRW.2019.00190"},{"key":"1353_CR24","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.patcog.2019.05.028","volume":"94","author":"H Luo","year":"2019","unstructured":"Luo, H., Jiang, W., Zhang, X., Fan, X., Qian, J., Zhang, C.: Alignedreid++: dynamically matching local information for person re-identification. Pattern Recogn. 94, 53\u201361 (2019)","journal-title":"Pattern Recogn."},{"key":"1353_CR25","doi-asserted-by":"publisher","first-page":"7306","DOI":"10.1109\/TIP.2020.3000904","volume":"29","author":"N Martinel","year":"2020","unstructured":"Martinel, N., Foresti, G.L., Micheloni, C.: Deep pyramidal pooling with attention for person re-identification. IEEE Trans. Image Process. 29, 7306\u20137316 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"1353_CR26","doi-asserted-by":"publisher","first-page":"104,394","DOI":"10.1016\/j.imavis.2022.104394","volume":"119","author":"Z Ming","year":"2022","unstructured":"Ming, Z., Zhu, M., Wang, X., Zhu, J., Cheng, J., Gao, C., Yang, Y., Wei, X.: Deep learning-based person re-identification methods: a survey and outlook of recent works. Image Vis. Comput. 119, 104,394 (2022)","journal-title":"Image Vis. Comput."},{"key":"1353_CR27","doi-asserted-by":"crossref","unstructured":"Rao, Y., Chen, G., Lu, J., Zhou, J.: Counterfactual attention learning for fine-grained visual categorization and re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1025\u20131034 (2021)","DOI":"10.1109\/ICCV48922.2021.00106"},{"key":"1353_CR28","doi-asserted-by":"crossref","unstructured":"Ristani, E., Solera, F., Zou, R., Cucchiara, R., Tomasi, C.: Performance measures and a data set for multi-target, multi-camera tracking. In: Proceedings of European Conference on Computer Vision, pp. 17\u201335. Springer, Berlin (2016)","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"1353_CR29","doi-asserted-by":"crossref","unstructured":"Sarfraz, M.S., Schumann, A., Eberle, A., Stiefelhagen, R.: A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 420\u2013429 (2018)","DOI":"10.1109\/CVPR.2018.00051"},{"key":"1353_CR30","doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: Facenet: A unified embedding for face recognition and clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"1353_CR31","doi-asserted-by":"crossref","unstructured":"Selvaraju, R.R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., Batra, D.: Grad-CAM: visual explanations from deep networks via gradient-based localization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 618\u2013626 (2017)","DOI":"10.1109\/ICCV.2017.74"},{"key":"1353_CR32","doi-asserted-by":"crossref","unstructured":"Song, C., Huang, Y., Ouyang, W., Wang, L.: Mask-guided contrastive attention model for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1179\u20131188 (2018)","DOI":"10.1109\/CVPR.2018.00129"},{"key":"1353_CR33","doi-asserted-by":"crossref","unstructured":"Sun, Y., Zheng, L., Deng, W., Wang, S.: SVDNet for pedestrian retrieval. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3800\u20133808 (2017)","DOI":"10.1109\/ICCV.2017.410"},{"key":"1353_CR34","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: Proceedings of European Conference on Computer Vision, pp. 480\u2013496 (2018)","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"1353_CR35","doi-asserted-by":"crossref","unstructured":"Tang, S., Andriluka, M., Andres, B., Schiele, B.: Multiple people tracking by lifted multicut and person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3539\u20133548 (2017)","DOI":"10.1109\/CVPR.2017.394"},{"key":"1353_CR36","doi-asserted-by":"crossref","unstructured":"Tay, C.P., Roy, S., Yap, K.H.: AANet: attribute attention network for person re-identifications. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7134\u20137143 (2019)","DOI":"10.1109\/CVPR.2019.00730"},{"key":"1353_CR37","doi-asserted-by":"crossref","unstructured":"Varior, R.R., Haloi, M., Wang, G.: Gated siamese convolutional neural network architecture for human re-identification. In: Proceedings of European Conference on Computer Vision, pp. 791\u2013808. Springer, Berlin (2016)","DOI":"10.1007\/978-3-319-46484-8_48"},{"key":"1353_CR38","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. arXiv:1706.03762 (2017)"},{"key":"1353_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: Proc. 26th ACM Multimedia Conference on Multimedia Conference, pp. 274\u2013282 (2018)","DOI":"10.1145\/3240508.3240552"},{"key":"1353_CR40","doi-asserted-by":"crossref","unstructured":"Wang, H., Shen, J., Liu, Y., Gao, Y., Gavves, E.: NFormer: robust person re-identification with neighbor transformer. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7297\u20137307 (2022)","DOI":"10.1109\/CVPR52688.2022.00715"},{"key":"1353_CR41","doi-asserted-by":"crossref","unstructured":"Wang, Z., Zhu, F., Tang, S., Zhao, R., He, L., Song, J.: Feature erasing and diffusion network for occluded person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4754\u20134763 (2022)","DOI":"10.1109\/CVPR52688.2022.00471"},{"key":"1353_CR42","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J.Y., Kweon, I.S.: CBAM: convolutional block attention module. In: Proceedings of European Conference on Computer Vision, pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"1353_CR43","doi-asserted-by":"publisher","first-page":"108,239","DOI":"10.1016\/j.patcog.2021.108239","volume":"121","author":"G Wu","year":"2022","unstructured":"Wu, G., Zhu, X., Gong, S.: Learning hybrid ranking representation for person re-identification. Pattern Recogn. 121, 108,239 (2022)","journal-title":"Pattern Recogn."},{"key":"1353_CR44","unstructured":"Xia, B.N., Gong, Y., Zhang, Y., Poellabauer, C.: Second-order non-local attention networks for person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3760\u20133769 (2019)"},{"key":"1353_CR45","doi-asserted-by":"crossref","unstructured":"Xiao, T., Li, H., Ouyang, W., Wang, X.: Learning deep feature representations with domain guided dropout for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1249\u20131258 (2016)","DOI":"10.1109\/CVPR.2016.140"},{"key":"1353_CR46","doi-asserted-by":"crossref","unstructured":"Xu, J., Zhao, R., Zhu, F., Wang, H., Ouyang, W.: Attention-aware compositional network for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2119\u20132128 (2018)","DOI":"10.1109\/CVPR.2018.00226"},{"key":"1353_CR47","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.patcog.2018.08.015","volume":"86","author":"F Yang","year":"2019","unstructured":"Yang, F., Yan, K., Lu, S., Jia, H., Xie, X., Gao, W.: Attention driven person re-identification. Pattern Recogn. 86, 143\u2013155 (2019)","journal-title":"Pattern Recogn."},{"issue":"6","key":"1353_CR48","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/TPAMI.2021.3054775","volume":"44","author":"M Ye","year":"2021","unstructured":"Ye, M., Shen, J., Lin, G., Xiang, T., Shao, L., Hoi, S.C.: Deep learning for person re-identification: a survey and outlook. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 2872\u20132893 (2021)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1353_CR49","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 Conference on Computer Vision and Pattern Recognition, pp. 13657\u201313665 (2020)","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"1353_CR50","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Lan, C., Zeng, W., Chen, Z.: Densely semantically aligned person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 667\u2013676 (2019)","DOI":"10.1109\/CVPR.2019.00076"},{"key":"1353_CR51","doi-asserted-by":"crossref","unstructured":"Zhang, A., Gao, Y., Niu, Y., Liu, W., Zhou, Y.: Coarse-to-fine person re-identification with auxiliary-domain classification and second-order information bottleneck. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 598\u2013607 (2021)","DOI":"10.1109\/CVPR46437.2021.00066"},{"key":"1353_CR52","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 Conference on Computer Vision and Pattern Recognition, pp. 3186\u20133195 (2020)","DOI":"10.1109\/CVPR42600.2020.00325"},{"key":"1353_CR53","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 Conference on Computer Vision and Pattern Recognition, pp. 12136\u201312145 (2021)","DOI":"10.1109\/CVPR46437.2021.01196"},{"key":"1353_CR54","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":"1353_CR55","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":"1353_CR56","doi-asserted-by":"crossref","unstructured":"Zheng, L., Zhang, H., Sun, S., Chandraker, M., Yang, Y., Tian, Q.: Person re-identification in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1367\u20131376 (2017)","DOI":"10.1109\/CVPR.2017.357"},{"issue":"1","key":"1353_CR57","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3159171","volume":"14","author":"Z Zheng","year":"2017","unstructured":"Zheng, Z., Zheng, L., Yang, Y.: A discriminatively learned CNN embedding for person reidentification. ACM Trans. Multimed. Comput. Commun. Appl. 14(1), 1\u201320 (2017)","journal-title":"ACM Trans. Multimed. Comput. Commun. Appl."},{"issue":"10","key":"1353_CR58","doi-asserted-by":"publisher","first-page":"3037","DOI":"10.1109\/TCSVT.2018.2873599","volume":"29","author":"Z Zheng","year":"2018","unstructured":"Zheng, Z., Zheng, L., Yang, Y.: Pedestrian alignment network for large-scale person re-identification. IEEE Trans. Circuits Syst. Video Technol. 29(10), 3037\u20133045 (2018)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"1353_CR59","doi-asserted-by":"crossref","unstructured":"Zheng, F., Deng, C., Sun, X., Jiang, X., Guo, X., Yu, Z., Huang, F., Ji, R.: Pyramidal person re-identification via multi-loss dynamic training. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8514\u20138522 (2019)","DOI":"10.1109\/CVPR.2019.00871"},{"key":"1353_CR60","doi-asserted-by":"crossref","unstructured":"Zhong, Z., Zheng, L., Cao, D., Li, S.: Re-ranking person re-identification with k-reciprocal encoding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1318\u20131327 (2017)","DOI":"10.1109\/CVPR.2017.389"},{"key":"1353_CR61","doi-asserted-by":"crossref","unstructured":"Zhou, S., Wang, J., Meng, D., Liang, Y., Gong, Y., Zheng, N.: Discriminative feature learning with foreground attention for person re-identification. IEEE Trans. Image Process. 28(9), 4671\u20134684 (2019)","DOI":"10.1109\/TIP.2019.2908065"},{"key":"1353_CR62","doi-asserted-by":"crossref","unstructured":"Zhou, J., Su, B., Wu, Y.: Online joint multi-metric adaptation from frequent sharing-subset mining for person re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2909\u20132918 (2020)","DOI":"10.1109\/CVPR42600.2020.00298"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-022-01353-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00138-022-01353-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-022-01353-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,17]],"date-time":"2023-01-17T16:05:54Z","timestamp":1673971554000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00138-022-01353-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,18]]},"references-count":62,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["1353"],"URL":"https:\/\/doi.org\/10.1007\/s00138-022-01353-3","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"type":"print","value":"0932-8092"},{"type":"electronic","value":"1432-1769"}],"subject":[],"published":{"date-parts":[[2022,11,18]]},"assertion":[{"value":"1 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 November 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"4"}}