{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:13:33Z","timestamp":1740158013795,"version":"3.37.3"},"reference-count":50,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2021YFC2009200"],"award-info":[{"award-number":["2021YFC2009200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s12652-022-04109-z","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T15:09:09Z","timestamp":1656515349000},"page":"14029-14043","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Triplet penalty matters: penalty metric space triplet loss for person re-identification"],"prefix":"10.1007","volume":"14","author":[{"given":"Wen-cheng","family":"Qin","sequence":"first","affiliation":[]},{"given":"Zhi-yong","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Tian-hui","family":"Guan","sequence":"additional","affiliation":[]},{"given":"Fang","family":"Xie","sequence":"additional","affiliation":[]},{"given":"Fen","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Pin-zhong","family":"Qin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"key":"4109_CR1","doi-asserted-by":"publisher","unstructured":"Alemu L, Shah M, Pelillo M (2019) Deep Constrained Dominant Sets for Person Re-Identification, 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), 2019, pp. 9854-9863, doi: https:\/\/doi.org\/10.1109\/ICCV.2019.00995","DOI":"10.1109\/ICCV.2019.00995"},{"key":"4109_CR2","doi-asserted-by":"publisher","first-page":"1320","DOI":"10.1109\/CVPR.2017.145","volume":"2017","author":"W Chen","year":"2017","unstructured":"Chen W, Chen X (2017) Beyond triplet loss: a deep quadruplet network for person re-identification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017:1320\u20131329. https:\/\/doi.org\/10.1109\/CVPR.2017.145","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"4109_CR3","doi-asserted-by":"publisher","unstructured":"Chen J, Qin J, Yan Y, Huang L, Liu L, Zhu F, and Shao L (2020a) Deep Local Binary Coding for Person Re-Identification by Delving into the Details. In Proceedings of the 28th ACM International Conference on Multimedia (MM '20). Association for Computing Machinery, New York, NY, USA, 3034\u20133043. DOI:https:\/\/doi.org\/10.1145\/3394171.3413979","DOI":"10.1145\/3394171.3413979"},{"key":"4109_CR4","unstructured":"Chen Q, Zhang W, Fan J (2020b) Cluster-level Feature Alignment for Person Re-identification. arXiv:2008.06810"},{"key":"4109_CR5","doi-asserted-by":"publisher","unstructured":"Dai Z, Chen M, Gu X, Zhu S, Tan P (2019) Batch dropblock network for person re-identification and beyond. 3690\u20133700. https:\/\/doi.org\/10.1109\/ICCV.2019.00379.","DOI":"10.1109\/ICCV.2019.00379"},{"key":"4109_CR6","doi-asserted-by":"publisher","first-page":"4685","DOI":"10.1109\/CVPR.2019.00482","volume":"2019","author":"J Deng","year":"2019","unstructured":"Deng J, Guo J (2019) ArcFace: additive angular margin loss for deep face recognition. IEEE\/CVF Conf Comput vis Pattern Recogn (CVPR) 2019:4685\u20134694. https:\/\/doi.org\/10.1109\/CVPR.2019.00482","journal-title":"IEEE\/CVF Conf Comput vis Pattern Recogn (CVPR)"},{"key":"4109_CR7","doi-asserted-by":"publisher","unstructured":"Fan X, Jiang W, Luo H, and Fei M (2018) SphereReID: deep hypersphere manifold embedding for person re-identification, https:\/\/doi.org\/10.1016\/j.jvcir.2019.01.010","DOI":"10.1016\/j.jvcir.2019.01.010"},{"key":"4109_CR8","unstructured":"Ge Y, Li Z, Zhao H, Yin G, Yi S, Wang X, Li H (2018) FD-GAN: pose-guided feature distilling GAN for robust person re-identification. In Proceedings of the 32nd International Conference on Neural Information Processing Systems. Curran Associates Inc., Red Hook, NY, USA, 1230\u20131241."},{"key":"4109_CR9","doi-asserted-by":"publisher","first-page":"3641","DOI":"10.1109\/ICCV.2019.00374","volume":"2019","author":"J Guo","year":"2019","unstructured":"Guo J, Yuan Y, Huang L, Zhang C (2019) Beyond human parts: dual part-aligned representations for person re-identification. IEEE\/CVF Int Conf Comput vis (ICCV) 2019:3641\u20133650. https:\/\/doi.org\/10.1109\/ICCV.2019.00374","journal-title":"IEEE\/CVF Int Conf Comput vis (ICCV)"},{"key":"4109_CR10","doi-asserted-by":"publisher","unstructured":"Hadsell R, Chopra S, LeCun Y (2005) Learning a similarity metric discriminatively, with application to face verification. In 2013 IEEE Conference on Computer Vision and Pattern Recognition, San Diego, California, 2005 pp. 539\u2013546.doi: https:\/\/doi.org\/10.1109\/CVPR.2005.202","DOI":"10.1109\/CVPR.2005.202"},{"key":"4109_CR11","doi-asserted-by":"publisher","unstructured":"Hao, L. (2019) Bag of tricks and a strong baseline for deep person re-identification. 1487\u20131495. https:\/\/doi.org\/10.1109\/CVPW.2019.00190.","DOI":"10.1109\/CVPW.2019.00190"},{"key":"4109_CR12","doi-asserted-by":"crossref","unstructured":"He L, Liang J, Li H, et al (2018a) Deep spatial feature reconstruction for partial person re-identification: alignment-free approach.","DOI":"10.1109\/CVPR.2018.00739"},{"key":"4109_CR13","unstructured":"He L, Sun Z, Zhu Y, et al (2018b) Recognizing partial biometric patterns."},{"key":"4109_CR14","unstructured":"He L, Wang Y, Liu W, et al (2019) Foreground-aware pyramid reconstruction for alignment-free occluded person re-identification."},{"key":"4109_CR15","unstructured":"Hermans A, Beyer L, Leibe B (2017) In defense of the triplet loss for person re-identifcation. https:\/\/arxiv.org\/abs\/1703.07737v2"},{"key":"4109_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03473-6","author":"Z Huang","year":"2021","unstructured":"Huang Z, Qin W, Luo F et al (2021) Combination of validity aggregation and multi-scale feature for person re-identification. J Ambient Intell Human Comput. https:\/\/doi.org\/10.1007\/s12652-021-03473-6","journal-title":"J Ambient Intell Human Comput"},{"key":"4109_CR17","doi-asserted-by":"publisher","unstructured":"Huang H, Li D, Zhang Z, et al (2018) Adversarially occluded samples for person re-identification. 5098\u20135107. https:\/\/doi.org\/10.1109\/CVPR.2018.00535.","DOI":"10.1109\/CVPR.2018.00535"},{"key":"4109_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3377352","volume":"16","author":"P Jean","year":"2020","unstructured":"Jean P, Qin K, Liu G, Luo G, Agyemang B (2020) Enforcing affinity feature learning through self-attention for person re-identification. ACM Trans Multimed Comput Commun Appl 16:1\u201322. https:\/\/doi.org\/10.1145\/3377352","journal-title":"ACM Trans Multimed Comput Commun Appl"},{"key":"4109_CR19","doi-asserted-by":"publisher","first-page":"3140","DOI":"10.1109\/CVPR42600.2020.00321","volume":"2020","author":"X Jin","year":"2020","unstructured":"Jin X, Lan C, Zeng W (2020) Style Normalization and Restitution for Generalizable Person Re-Identification. IEEE\/CVF Conf Comput vis Pattern Recogn (CVPR) 2020:3140\u20133149. https:\/\/doi.org\/10.1109\/CVPR42600.2020.00321","journal-title":"IEEE\/CVF Conf Comput vis Pattern Recogn (CVPR)"},{"issue":"7","key":"4109_CR20","doi-asserted-by":"publisher","first-page":"3492","DOI":"10.1109\/TIP.2017.2700762","volume":"26","author":"H Liu","year":"2017","unstructured":"Liu H, Feng J, Qi M, Jiang J, Yan S (2017) End-to-end comparative attention networks for person re-identification. IEEE Trans Image Process 26(7):3492\u20133506. https:\/\/doi.org\/10.1109\/TIP.2017.2700762","journal-title":"IEEE Trans Image Process"},{"key":"4109_CR21","unstructured":"Liu W & Wen Y& Yu Z, Yang M (2016) Large-margin softmax loss for convolutional neural networks. Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:507\u2013516"},{"key":"4109_CR22","doi-asserted-by":"publisher","unstructured":"Miao J, Wu Y, Liu P, et a (2019) Pose-guided feature alignment for occluded person re-identification. 542\u2013551. https:\/\/doi.org\/10.1109\/ICCV.2019.00063.","DOI":"10.1109\/ICCV.2019.00063"},{"key":"4109_CR23","doi-asserted-by":"crossref","unstructured":"Miao J, Wu Y, Yang Y (2021) identifying visible parts via pose estimation for occluded person re-identification","DOI":"10.1109\/TNNLS.2021.3059515"},{"key":"4109_CR24","doi-asserted-by":"publisher","unstructured":"Quan R, Dong X, Wu Y, et al (2019) Auto-ReID: searching for a part-aware convnet for person re-identification, 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), 2019, pp. 3749\u20133758, doi: https:\/\/doi.org\/10.1109\/ICCV.2019.00385.","DOI":"10.1109\/ICCV.2019.00385"},{"key":"4109_CR25","unstructured":"Quispe R, Pedrini H (2020) Top-DB-net: top dropblock for activation enhancement in person re-identification"},{"key":"4109_CR26","doi-asserted-by":"crossref","unstructured":"Ristani E, Solera F, Zou R, Cucchiara R, Tomasi C (2016) Performance measures and a data set for multi-target, multi-camera tracking","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"4109_CR27","doi-asserted-by":"crossref","unstructured":"Schroff L, Kalenichenko D, Philbin J.(2015) Facenet: A unified embedding for face recognition and clustering. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, MA: IEEE, 2015: 815\u2013823","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"4109_CR28","doi-asserted-by":"crossref","unstructured":"Selvaraju R, Cogswell M, Das A, et al (2017) Grad-cam: visual explanations from deep networks via gradient-based localization. Proceedings of the IEEE International Conference on Computer Vision (CVPR). Venice, Italy: IEEE, 2017: 618\u2013626","DOI":"10.1109\/ICCV.2017.74"},{"key":"4109_CR29","unstructured":"Sohn K (2016) Improved deep metric learning with multi-class N-pair loss objective. In Proceedings of the 30th International Conference on Neural Information Processing Systems. Curran Associates Inc., Red Hook, NY, USA, 1857\u20131865"},{"key":"4109_CR30","doi-asserted-by":"publisher","unstructured":"Suh Y, Wang J, Tang S, Mei T, Lee KM (2018) Part-aligned bilinear representations for person re-identification. In: Ferrari V, Hebert M, Sminchisescu C, Weiss Y (eds) Computer vision \u2013 ECCV 2018. ECCV 2018. Lecture Notes in Computer Science, vol 11218. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-030-01264-9_25","DOI":"10.1007\/978-3-030-01264-9_25"},{"key":"4109_CR31","volume-title":"(2017) Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)","author":"Y Sun","year":"2017","unstructured":"Sun Y, Zheng L, Yang Y et al (2017) (2017) Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline). Springer, Cham"},{"key":"4109_CR32","doi-asserted-by":"crossref","unstructured":"Sun Y, Cheng C, Zhang Y, Zhang C, Zheng L, Wang Z, Wei Y (2020a) Circle loss: a unified perspective of pair similarity optimization","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"4109_CR33","doi-asserted-by":"crossref","unstructured":"Sun Y, Xu Q, Li Y, et al (2020b) Perceive where to focus: learning visibility-aware part-level features for partial person reidentification","DOI":"10.1109\/CVPR.2019.00048"},{"key":"4109_CR34","doi-asserted-by":"crossref","unstructured":"Tay C P, Roy S, Yap K H (2020) AANet: Attribute Attention Network for Person Re-Identifications[C]\/\/ 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2020.","DOI":"10.1109\/CVPR.2019.00730"},{"key":"4109_CR35","first-page":"11","volume":"9","author":"L Van der Maaten","year":"2008","unstructured":"Van der Maaten L, Hinton G (2008) (2008) Visualizing data using t-SNE. J Mach Learn Res 9:11","journal-title":"J Mach Learn Res"},{"key":"4109_CR36","doi-asserted-by":"publisher","unstructured":"Varior RR, Haloi M, Wang G (2016) Gated siamese convolutional neural network architecture for human re-identifcation. In: Leibe B, Matas J, Sebe N, Welling M (eds) Computer vision \u2013 ECCV 2016. ECCV 2016. Lecture Notes in computer science, vol 9912. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-319-46484-8_48","DOI":"10.1007\/978-3-319-46484-8_48"},{"issue":"7","key":"4109_CR37","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1109\/LSP.2018.2822810","volume":"25","author":"F Wang","year":"2018","unstructured":"Wang F, Cheng J, Liu W, Liu H (2018) Additive margin softmax for face verification. IEEE Sign Process Lett 25(7):926\u2013930. https:\/\/doi.org\/10.1109\/LSP.2018.2822810","journal-title":"IEEE Sign Process Lett"},{"key":"4109_CR38","doi-asserted-by":"publisher","first-page":"5265","DOI":"10.1109\/CVPR.2018.00552","volume":"2018","author":"H Wang","year":"2018","unstructured":"Wang H et al (2018a) CosFace: large margin cosine loss for deep face recognition. IEEE\/CVF Conf Comput vis Pattern Recogn 2018:5265\u20135274. https:\/\/doi.org\/10.1109\/CVPR.2018.00552","journal-title":"IEEE\/CVF Conf Comput vis Pattern Recogn"},{"key":"4109_CR39","doi-asserted-by":"publisher","first-page":"6448","DOI":"10.1109\/CVPR42600.2020.00648","volume":"2020","author":"G Wang","year":"2020","unstructured":"Wang G et al (2020) High-order information matters: learning relation and topology for occluded person re-identification. IEEE\/CVF Conf Comput vis Pattern Recogn 2020:6448\u20136457. https:\/\/doi.org\/10.1109\/CVPR42600.2020.00648","journal-title":"IEEE\/CVF Conf Comput vis Pattern Recogn"},{"key":"4109_CR40","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.cogsys.2020.10.002","volume":"65","author":"C Wang","year":"2021","unstructured":"Wang C, Pan ZG, Li XZ (2021) Multilevel metric rank match for person re-identification. Cogn Syst Res 65:98\u2013106","journal-title":"Cogn Syst Res"},{"key":"4109_CR41","doi-asserted-by":"publisher","unstructured":"Wang G, Yuan Y, Chen X, et al (2018b) Learning Discriminative Features with Multiple Granularities for Person Re-Identification. In Proceedings of the 26th ACM international conference on Multimedia. Association for Computing Machinery, New York, NY, USA, 274\u2013282. DOI:https:\/\/doi.org\/10.1145\/3240508.3240552","DOI":"10.1145\/3240508.3240552"},{"key":"4109_CR42","doi-asserted-by":"crossref","unstructured":"Wei L, Zhang S, Wen G, et al (2017) Person transfer GAN to bridge domain gap for person re-identification","DOI":"10.1109\/CVPR.2018.00016"},{"key":"4109_CR43","unstructured":"Xiao Q, Luo H, and Zhang C (2017) Margin sample mining loss: a deep learning based method for person re-identification, arXiv:1710.00478"},{"key":"4109_CR44","unstructured":"Xuan Z, Hao L, Xing F, et al (2017) AlignedReID: surpassing human-level performance in person re-identification"},{"key":"4109_CR45","doi-asserted-by":"publisher","unstructured":"Zheng W S, Gong S, Tao X (2011) Person re-identification by probabilistic relative distance comparison. In Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Computer Society, USA, 649\u2013656. DOI:https:\/\/doi.org\/10.1109\/CVPR.2011.5995598","DOI":"10.1109\/CVPR.2011.5995598"},{"key":"4109_CR46","doi-asserted-by":"crossref","unstructured":"Zheng L, Shen L, Tian L, Wang S, Wang J, and Tian Q (2015) Scalable Person Re-identification: A Benchmark","DOI":"10.1109\/ICCV.2015.133"},{"key":"4109_CR47","doi-asserted-by":"crossref","unstructured":"Zheng Z, Yang X, Yu Z, Zheng L, Yang Y, and Kautz J (2020) Joint discriminative and generative learning for person re-identification","DOI":"10.1109\/CVPR.2019.00224"},{"key":"4109_CR48","unstructured":"Zhong Z, Zheng L, Kang G, et al (2017a) Random erasing data augmentation"},{"key":"4109_CR49","doi-asserted-by":"crossref","unstructured":"Zhong Z, Liang Z, D Cao, et al (2017b) Re-ranking person re-identification with k-reciprocal encoding","DOI":"10.1109\/CVPR.2017.389"},{"key":"4109_CR50","unstructured":"Zhong Z, Zheng L, Kang G, et al (2017c) Random Erasing Data Augmentation. Proceedings of the AAAI Conference on Artificial Intelligence, 2017c, 34(7)"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-04109-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-022-04109-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-04109-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T18:41:14Z","timestamp":1692729674000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-022-04109-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":50,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["4109"],"URL":"https:\/\/doi.org\/10.1007\/s12652-022-04109-z","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"type":"print","value":"1868-5137"},{"type":"electronic","value":"1868-5145"}],"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"29 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 June 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}