{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T07:15:19Z","timestamp":1766733319020,"version":"3.37.3"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"18","license":[{"start":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T00:00:00Z","timestamp":1663200000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T00:00:00Z","timestamp":1663200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,15]],"date-time":"2022-09-15T00:00:00Z","timestamp":1663200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Natural Science Foundation of Shanghai under Grand","award":["22ZR1443700"],"award-info":[{"award-number":["22ZR1443700"]}]},{"name":"Jiangxi Duoble Thousand Plan","award":["jxsq2019201125"],"award-info":[{"award-number":["jxsq2019201125"]}]},{"DOI":"10.13039\/501100004479","name":"Natural Science Foundation of Jiangxi Province","doi-asserted-by":"publisher","award":["20212ACB212001"],"award-info":[{"award-number":["20212ACB212001"]}],"id":[{"id":"10.13039\/501100004479","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61901199"],"award-info":[{"award-number":["61901199"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2022,9,15]]},"DOI":"10.1109\/jiot.2022.3162403","type":"journal-article","created":{"date-parts":[[2022,3,25]],"date-time":"2022-03-25T19:52:29Z","timestamp":1648237949000},"page":"17979-17988","source":"Crossref","is-referenced-by-count":6,"title":["Regressive Pseudo Label for Weakly Supervised Facial Landmark Detection"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3360-9499","authenticated-orcid":false,"given":"Zhiqun","family":"Pan","sequence":"first","affiliation":[{"name":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3242-0857","authenticated-orcid":false,"given":"Yongxiong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9037-0694","authenticated-orcid":false,"given":"Bin","family":"Tan","sequence":"additional","affiliation":[{"name":"College of Electronics and Information Engineering, Jinggangshan University, Ji&#x2019;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2984887"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900264"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130513"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2016.01.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00227"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2014.2337336"},{"key":"ref7","first-page":"1","article-title":"Semi-supervised classification by low density separation","volume-title":"Proc. 10th Int. Workshop Artif. Intell. Stat. (AISTATS)","author":"Chapelle"},{"key":"ref8","first-page":"1","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. 9th Int. Conf. Learn. Represent.","author":"Dosovitskiy"},{"key":"ref9","first-page":"59","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"Ganin","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00615"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00707"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00826"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.393"},{"key":"ref14","first-page":"1","article-title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","volume-title":"Proc. Workshop Challenges Represent. Learn.","volume":"3","author":"Lee"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01269"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00671"},{"key":"ref17","first-page":"1","article-title":"Universal domain adaptation through self supervision","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"33","author":"Saito"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00814"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_4"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.261"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00307"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00590"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00047"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00177"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.280"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2899267"},{"issue":"86","key":"ref29","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/9881201\/09743411.pdf?arnumber=9743411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:08:37Z","timestamp":1705536517000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9743411\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,15]]},"references-count":29,"journal-issue":{"issue":"18"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2022.3162403","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"type":"electronic","value":"2327-4662"},{"type":"electronic","value":"2372-2541"}],"subject":[],"published":{"date-parts":[[2022,9,15]]}}}