{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T04:14:49Z","timestamp":1791605689882,"version":"4.3.4"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tifs.2021.3109463","type":"journal-article","created":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T16:01:26Z","timestamp":1630512086000},"page":"4534-4543","source":"Crossref","is-referenced-by-count":31,"title":["DSA-Face: Diverse and Sparse Attentions for Face Recognition Robust to Pose Variation and Occlusion"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0416-8778","authenticated-orcid":false,"given":"Qiangchang","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9583-0055","authenticated-orcid":false,"given":"Guodong","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413960"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413723"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02100-9"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413731"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3098962"},{"key":"ref36","first-page":"4304","article-title":"Learning from the web: Webly supervised meta-learning for masked face recognition","author":"zheng","year":"2021","journal-title":"Proc IEEE Conf Comput Vis and Pattern Recog"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.2967754"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.53"},{"key":"ref28","first-page":"1","article-title":"Attention-guided progressive mapping for profile face recognition","author":"huang","year":"2021","journal-title":"Proc IEEE Int Joint Conf Biometrics (IJCB)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08422-2"},{"key":"ref29","first-page":"10120","article-title":"Two-level attention-based fusion learning for RGB-D face recognition","author":"uppal","year":"2021","journal-title":"Proc Int Conf Pattern Recognit (ICPR)"},{"key":"ref2","article-title":"Mis-classified vector guided softmax loss for face recognition","author":"wang","year":"2019","journal-title":"arXiv 1912 00833"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref20","article-title":"Optimization on submanifolds of convolution kernels in CNNs","author":"ozay","year":"2016","journal-title":"arXiv 1610 07008"},{"key":"ref22","first-page":"3271","article-title":"Orthogonal weight normalization: Solution to optimization over multiple dependent Stiefel manifolds in deep neural networks","author":"huang","year":"2018","journal-title":"Proc AAAI"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.410"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01152"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00844"},{"key":"ref26","first-page":"782","article-title":"Comparator networks","author":"xie","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref25","first-page":"1988","article-title":"Deep learning face representation by joint identification-verification","author":"sun","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00594"},{"key":"ref51","first-page":"741","article-title":"Sub-center ArcFace: Boosting face recognition by large-scale noisy web faces","author":"deng","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref55","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58545-7_31"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00566"},{"key":"ref52","article-title":"MagFace: A universal representation for face recognition and quality assessment","author":"meng","year":"2021","journal-title":"arXiv 2103 06627"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00835"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2020.106827"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"ref12","article-title":"Let features decide for themselves: Feature mask network for person re-identification","author":"ding","year":"2017","journal-title":"arXiv 1711 07155"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.782"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00243"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.557"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240645"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00896"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00869"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01266"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102805"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00571"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2700390"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2946938"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_39"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00557"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICB2018.2018.00033"},{"key":"ref45","first-page":"1","article-title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","author":"huang","year":"2008","journal-title":"Proc Workshop Faces Real-Life&#x2019;Images Detection Alignment Recognit"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref47","article-title":"Masked face recognition dataset and application","author":"wang","year":"2020","journal-title":"arXiv 2003 09093"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00070"},{"key":"ref41","first-page":"87","article-title":"MS-Celeb-1M: A dataset and benchmark for large-scale face recognition","author":"guo","year":"2016","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"key":"ref43","article-title":"Cross-pose LFW: A database for studying cross-pose face recognition in unconstrained environments","volume":"5","author":"zheng","year":"2018"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/9151439\/09526849.pdf?arnumber=9526849","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T10:52:40Z","timestamp":1652179960000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9526849\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tifs.2021.3109463","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}