{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T16:00:07Z","timestamp":1783440007778,"version":"3.54.6"},"reference-count":160,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["226-2022-00051"],"award-info":[{"award-number":["226-2022-00051"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62372405"],"award-info":[{"award-number":["62372405"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"CCF-Tencent Open Fund"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tpami.2023.3332435","type":"journal-article","created":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:17:21Z","timestamp":1699903041000},"page":"2123-2138","source":"Crossref","is-referenced-by-count":40,"title":["Semantic Hierarchy-Aware Segmentation"],"prefix":"10.1109","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4637-0328","authenticated-orcid":false,"given":"Liulei","family":"Li","sequence":"first","affiliation":[{"name":"ReLER, AAII, University of Technology Sydney, Ultimo, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0802-9567","authenticated-orcid":false,"given":"Wenguan","family":"Wang","sequence":"additional","affiliation":[{"name":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5475-1473","authenticated-orcid":false,"given":"Tianfei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Computer Vision Lab, ETH Zurich, Zürich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4077-1398","authenticated-orcid":false,"given":"Ruijie","family":"Quan","sequence":"additional","affiliation":[{"name":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0512-880X","authenticated-orcid":false,"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"Collaborative lnnovation Center of Artificial Intelligence (CCAI), Zhejiang University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00131"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1604.01685"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.534"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00721"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247739"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3225573"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3262578"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00223"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01794"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102599"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_52"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3115815"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-7687.2007.00569.x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1631\/fitee.2100463"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015374"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015374"},{"key":"ref18","first-page":"5075","article-title":"Hierarchical multi-label classification networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wehrmann"},{"key":"ref19","first-page":"170","article-title":"Hierarchically classifying documents using very few words","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Koller"},{"key":"ref20","first-page":"359","article-title":"Improving text classification by shrinkage in a hierarchy of classes","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"McCallum"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2010.38"},{"key":"ref22","first-page":"17","article-title":"Multilabel classification on tree-and DAG-structured hierarchies","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bi"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00580"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00895"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_26"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00085"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500398"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00411"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3055780"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3239194"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3049156"},{"key":"ref32","article-title":"Leveraging class hierarchies with metric-guided prototype learning","author":"Garnot","year":"2020"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2820063"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.644"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.254"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1909.11065"},{"key":"ref39","first-page":"17864","article-title":"Per-pixel classification is not all you need for semantic segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Cheng"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref47","article-title":"Multi-scale context aggregation by dilated convolutions","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Yu"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.549"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00770"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00692"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_26"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_29"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00533"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00747"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00064"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3099369"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.539"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref60","article-title":"Pyramid attention network for semantic segmentation","author":"Li","year":"2018"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_17"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58536-5_21"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00068"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00926"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3132834"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00261"},{"key":"ref69","article-title":"Visual recognition with deep nearest centroids","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Wang"},{"key":"ref70","first-page":"31360","article-title":"GMMSeg: Gaussian mixture based generative semantic segmentation models","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Liang"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01484"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00381"},{"key":"ref73","article-title":"Towards data-and knowledge-driven artificial intelligence: A survey on neuro-symbolic computing","author":"Wang","year":"2022"},{"key":"ref74","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Xie"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00717"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00681"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00135"},{"key":"ref78","first-page":"12826","article-title":"Learning equivariant segmentation with instance-unique querying","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Wang"},{"key":"ref79","first-page":"20787","article-title":"CLUSTSEG: Clustering for universal segmentation","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Liang"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-6642-x"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.137"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-007-0069-5"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.65"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126260"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12336"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_13"},{"key":"ref88","article-title":"Deep learning technique for human parsing: A survey and outlook","author":"Yang","year":"2023"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19812-0_42"},{"key":"ref90","article-title":"PanopticPartFormer: A unified and decoupled view for panoptic part segmentation","author":"Li","year":"2023"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.221"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0175-9"},{"key":"ref93","first-page":"1601","article-title":"Kernel-based learning of hierarchical multilabel classification models","volume":"7","author":"Rousu","year":"2006","journal-title":"J. Mach. Learn. Res."},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btk048"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15555-0_6"},{"key":"ref96","first-page":"163","article-title":"Label embedding trees for large multi-class tasks","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Bengio"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2001.989560"},{"key":"ref98","first-page":"9662","article-title":"Coherent hierarchical multi-label classification networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Giunchiglia"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01252"},{"key":"ref100","first-page":"2121","article-title":"Devise: A deep visual-semantic embedding model","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Frome"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298911"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.15"},{"key":"ref103","first-page":"1251","article-title":"Large-scale category structure aware image categorization","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Zhao"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6247938"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744683"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4409064"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.314"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_32"},{"key":"ref109","article-title":"B-CNN: Branch convolutional neural network for hierarchical classification","author":"Zhu","year":"2017"},{"key":"ref110","first-page":"6341","article-title":"Poincar\u00e9 embeddings for learning hierarchical representations","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Nickel"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.180"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-02172-5_2"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref116","first-page":"1988","article-title":"Deep learning face representation by joint identification-verification","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Sun"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1145\/2766959"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001493000339"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"ref120","first-page":"412","article-title":"Learning a nonlinear embedding by preserving class neighbourhood structure","volume-title":"Proc. Artif. Intell. Statist.","author":"Salakhutdinov"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.130"},{"key":"ref122","first-page":"1270","article-title":"Local similarity-aware deep feature embedding","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Huang"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.94"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.283"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.208"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.07.043"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240523"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01307"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_17"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350995"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00073"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01418"},{"key":"ref134","first-page":"1646","article-title":"Hyperbolic entailment cones for learning hierarchical embeddings","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ganea"},{"key":"ref135","first-page":"4460","article-title":"Representation tradeoffs for hyperbolic embeddings","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sala"},{"key":"ref136","article-title":"Order-embeddings of images and language","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Vendrov"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref138","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"Loshchilov","year":"2016"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58598-3_24"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00927"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1048-0"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00847"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01385"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_12"},{"key":"ref146","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov"},{"key":"ref147","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00690"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00939"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00532"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00763"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00899"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.396"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_26"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014814"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350857"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00150"},{"key":"ref159","first-page":"15065","article-title":"From trees to continuous embeddings and back: Hyperbolic hierarchical clustering","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Chami"},{"key":"ref160","first-page":"12565","article-title":"Continuous hierarchical representations with poincar\u00e9 variational auto-encoders","volume-title":"Proc. Adv. Neural Inf. Process. Syst","author":"Mathieu"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/34\/10461350\/10316583.pdf?arnumber=10316583","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T19:37:47Z","timestamp":1743795467000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10316583\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":160,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2023.3332435","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}