{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T20:40:37Z","timestamp":1775767237797,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia \/ Minist\u00e9rio da Educa\u00e7\u00e3o e Ci\u00eancia (FCT\/MEC) through National Funds Fundo Europeu de Desenvolvimento Regional (FEDER)\u2014PT2020","doi-asserted-by":"publisher","award":["UIDB\/50008\/2020"],"award-info":[{"award-number":["UIDB\/50008\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Research","doi-asserted-by":"publisher","award":["2020.09847.BD"],"award-info":[{"award-number":["2020.09847.BD"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"C4\u2014Centro de Compet\u00eancias em Cloud Computing","doi-asserted-by":"publisher","award":["Centro-01-0145-FEDER-000019"],"award-info":[{"award-number":["Centro-01-0145-FEDER-000019"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund (ERDF) through the Programa Operacional Regional do Centro","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Sistema de Apoio \u00e0 Investiga\u00e7\u00e3o Cient\u00edfica e Tecnol\u00f3gica\u2014Programas Integrados de Investiga\u00e7\u00e3o Cient\u00edfica e Desenvolvimento Tecnol\u00f3gico"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3157857","type":"journal-article","created":{"date-parts":[[2022,3,8]],"date-time":"2022-03-08T21:35:35Z","timestamp":1646775335000},"page":"28122-28132","source":"Crossref","is-referenced-by-count":12,"title":["YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9563-8039","authenticated-orcid":false,"given":"Tiago","family":"Roxo","sequence":"first","affiliation":[{"name":"Instituto de Telecomunica&#x00C7;&#x00F5;es (IT), University of Beira Interior, Covilh&#x00E3;, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2551-8570","authenticated-orcid":false,"given":"Hugo","family":"Proenca","sequence":"additional","affiliation":[{"name":"Instituto de Telecomunica&#x00C7;&#x00F5;es (IT), University of Beira Interior, Covilh&#x00E3;, Portugal"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-25948-0_99"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2480381"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0940-3"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.93"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2359646"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.256"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01112"},{"key":"ref10","first-page":"1","article-title":"Pose flow: Efficient online pose tracking","volume-title":"Proc. Brit. Mach. Vis. Conf. (BMVC)","author":"Xiu"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301352"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2761849"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2738004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2781233"},{"key":"ref15","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"25","author":"Krizhevsky"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2632070"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.191"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00296"},{"key":"ref19","article-title":"InclusiveFaceNet: Improving face attribute detection with race and gender diversity","author":"Ryu","year":"2017","journal-title":"arXiv:1712.00193"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654966"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.46"},{"key":"ref22","article-title":"A richly annotated dataset for pedestrian attribute recognition","author":"Li","year":"2016","journal-title":"arXiv:1603.07054"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.65"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/441"},{"key":"ref25","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Ioffe"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486476"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.06.006"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01307"},{"key":"ref29","article-title":"Rethinking of pedestrian attribute recognition: Realistic datasets with efficient method","author":"Jia","year":"2020","journal-title":"arXiv:2005.11909"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2021.3100926"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2018.8486604"},{"key":"ref32","article-title":"Deep template matching for pedestrian attribute recognition with the auxiliary supervision of attribute-wise keypoints","author":"Zhang","year":"2020","journal-title":"arXiv:2011.06798"},{"key":"ref33","first-page":"1","article-title":"Localization guided learning for pedestrian attribute recognition","volume-title":"Proc. Brit. Mach. Vis. Conf. (BMVC)","author":"Liu"},{"key":"ref34","first-page":"1","article-title":"Region-based CNNs for pedestrian gender recognition in visual surveillance environments","volume-title":"Proc. Int. Conf. Biometrics Special Interest Group (BIOSIG)","author":"Yaghoubi"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/BIOSMART.2019.8734198"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_42"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.06.028"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00510"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00082"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/s20030811"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3045286"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019275"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.07.018"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351003"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref48","volume-title":"Detectron2","author":"Wu","year":"2021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref50","article-title":"EXTD: Extremely tiny face detector via iterative filter reuse","author":"Yoo","year":"2019","journal-title":"arXiv:1906.06579"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00525"},{"key":"ref52","first-page":"274","article-title":"Generic and real-time detection of specular reflections in images","volume-title":"Proc. VISAPP 9th Int. Conf. Comput. Vis. Theory Appl.","volume":"1","author":"Morgand"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-4825-3_17"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09730882.pdf?arnumber=9730882","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:13:57Z","timestamp":1705536837000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9730882\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3157857","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}