{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:09:03Z","timestamp":1740100143840,"version":"3.37.3"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,19]],"date-time":"2021-09-19T00:00:00Z","timestamp":1632009600000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,19]]},"DOI":"10.1109\/icip42928.2021.9506456","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T21:08:41Z","timestamp":1629752921000},"page":"879-883","source":"Crossref","is-referenced-by-count":2,"title":["Let Them Choose What They Want: A Multi-Task CNN Architecture Leveraging Mid-Level Deep Representations for Face Attribute Classification"],"prefix":"10.1109","author":[{"given":"Zhenduo","family":"Chen","sequence":"first","affiliation":[{"name":"Nanjing University of Posts and Telecommunications,Jiangsu Key Lab of Image Processing & Image Communications"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Liu","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications,Jiangsu Key Lab of Image Processing & Image Communications"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenglai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Jiangsu Bzisland Intelligent Technology Institute,Nanjing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.212"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.450"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2018.2820048"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_2"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532958"},{"key":"ref15","first-page":"4068","article-title":"Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification","author":"hand","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545271"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2969189"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00451"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-030-01234-2_1","article-title":"Cbam: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Computer Vision – ECCV 2018"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.1007\/s11263-017-1029-3","article-title":"Un-constrained still\/video-based face verification with deep convolutional neural networks","volume":"126","author":"chen","year":"2018","journal-title":"International Journal of Computer Vision"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298907"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995329"},{"key":"ref8","article-title":"Higher-order potentials for video object segmentation in bilateral space","author":"chuanyan hao","year":"2020","journal-title":"Neurocomputing online published"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2957285"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref1","article-title":"Learning structured ordinal measures for video based face recognition","author":"ran","year":"2018","journal-title":"Pattern Recognition The Journal of the Pattern Recognition Society"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"}],"event":{"name":"2021 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2021,9,19]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2021,9,22]]}},"container-title":["2021 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9506008\/9506009\/09506456.pdf?arnumber=9506456","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,13]],"date-time":"2022-06-13T21:10:43Z","timestamp":1655154643000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9506456\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,19]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icip42928.2021.9506456","relation":{},"subject":[],"published":{"date-parts":[[2021,9,19]]}}}