{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T22:41:44Z","timestamp":1793313704870,"version":"4.5.0"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62025604"],"award-info":[{"award-number":["62025604"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971016"],"award-info":[{"award-number":["61971016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202461"],"award-info":[{"award-number":["62202461"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176253"],"award-info":[{"award-number":["62176253"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M723364"],"award-info":[{"award-number":["2022M723364"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tip.2023.3313493","type":"journal-article","created":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T18:15:12Z","timestamp":1695060912000},"page":"5394-5407","source":"Crossref","is-referenced-by-count":2,"title":["Exploring the Robustness of Human Parsers Toward Common Corruptions"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3786-2299","authenticated-orcid":false,"given":"Sanyi","family":"Zhang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7141-708X","authenticated-orcid":false,"given":"Xiaochun","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4792-1945","authenticated-orcid":false,"given":"Rui","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3508-1851","authenticated-orcid":false,"given":"Guo-Jun","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Engineering, Westlake University, Hangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7701-234X","authenticated-orcid":false,"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Automation, State Key Laboratory of Intelligent Technologies and Systems, Beijing Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","first-page":"3508","article-title":"Hierarchical human semantic parsing with comprehensive part-relation modeling","volume":"44","author":"wang","year":"2022","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3048039"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00739"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2990531"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014814"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2938758"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.485"},{"key":"ref52","first-page":"1","article-title":"Evaluating the robustness of neural networks: An extreme value theory approach","author":"weng","year":"2018","journal-title":"Proc Conf ICLR"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3055737"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01383-2"},{"key":"ref10","article-title":"GraspNet: A large-scale clustered and densely annotated dataset for object grasping","author":"fang","year":"2019","journal-title":"arXiv 1912 13470"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00823"},{"key":"ref17","article-title":"Benchmarking robustness in object detection: Autonomous driving when winter is coming","author":"michaelis","year":"2019","journal-title":"arXiv 1907 07484"},{"key":"ref16","first-page":"1","article-title":"AUGMIX: A simple data processing method to improve robustness and uncertainty","author":"hendrycks","year":"2020","journal-title":"Proc Conf ICLR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_22"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00885"},{"key":"ref51","first-page":"16199","article-title":"Robust pre-training by adversarial contrastive learning","volume":"33","author":"jiang","year":"2020","journal-title":"Proc Conf NeurIPS"},{"key":"ref50","first-page":"237","article-title":"AugMax: Adversarial composition of random augmentations for robust training","volume":"34","author":"wang","year":"2021","journal-title":"Proc Conf NeurIPS"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_26"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00131"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3147841"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.12320"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00895"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00580"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6728"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00763"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00928"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_25"},{"key":"ref7","first-page":"346","article-title":"Identity-guided human semantic parsing for person re-identification","author":"zhu","year":"2020","journal-title":"Proc Conf ECCV"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3049156"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01665"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00787"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00513"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992105"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58601-0_13"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00721"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.329"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00892"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00261"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.163"},{"key":"ref30","first-page":"1","article-title":"Max margin AND\/OR graph learning for parsing the human body","author":"zhu","year":"2008","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.347"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00912"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00449"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2966453"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00167"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.254"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2013.2285526"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248101"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01168"},{"key":"ref64","first-page":"1","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"Proc Conf ICLR"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2408360"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2820063"},{"key":"ref65","first-page":"801","article-title":"Encoder–decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Conf ECCV"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.423"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995609"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.437"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58539-6_11"},{"key":"ref62","article-title":"GridMask data augmentation","author":"chen","year":"2020","journal-title":"arXiv 2001 04086"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240634"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9991910\/10254479.pdf?arnumber=10254479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T19:41:24Z","timestamp":1698694884000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10254479\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/tip.2023.3313493","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}