{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T15:10:30Z","timestamp":1781622630885,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":36,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T00:00:00Z","timestamp":1602460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61532003"],"award-info":[{"award-number":["61532003"]}]},{"name":"National Natural Science Foundation of China","award":["61922006"],"award-info":[{"award-number":["61922006"]}]},{"name":"Beijing Nova Program","award":["Z181100006218063"],"award-info":[{"award-number":["Z181100006218063"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,12]]},"DOI":"10.1145\/3394171.3413726","type":"proceedings-article","created":{"date-parts":[[2020,10,12]],"date-time":"2020-10-12T13:12:00Z","timestamp":1602508320000},"page":"2264-2272","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Cartoon Face Recognition"],"prefix":"10.1145","author":[{"given":"Yi","family":"Zheng","sequence":"first","affiliation":[{"name":"iQIYI, Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyuan","family":"Ren","sequence":"additional","affiliation":[{"name":"iQIYI, Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"He","family":"Yan","sequence":"additional","affiliation":[{"name":"iQIYI, Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangju","family":"Lu","sequence":"additional","affiliation":[{"name":"iQIYI, Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhui","family":"Liu","sequence":"additional","affiliation":[{"name":"iQIYI, Inc., Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang University &amp; Peng Cheng Laboratory, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,12]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-015-0819-8"},{"key":"e_1_3_2_2_2_1","volume-title":"Gwern Branwen, and Aaron Gokaslan.","author":"Anonymous","year":"2019","unstructured":"Anonymous , Danbooru community , Gwern Branwen, and Aaron Gokaslan. 2019 . Danbooru2018: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset . https:\/\/www.gwern.net\/Danbooru2018. https:\/\/www.gwern.net\/Danbooru2018 Accessed: DATE. Anonymous, Danbooru community, Gwern Branwen, and Aaron Gokaslan. 2019. Danbooru2018: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset. https:\/\/www.gwern.net\/Danbooru2018. https:\/\/www.gwern.net\/Danbooru2018 Accessed: DATE."},{"key":"e_1_3_2_2_3_1","volume-title":"International Conference on Automatic Face and Gesture Recognition.","author":"Cao Q.","unstructured":"Q. Cao , L. Shen , W. Xie , O. M. Parkhi , and A. Zisserman . 2018. VGGFace2: A dataset for recognising faces across pose and age . In International Conference on Automatic Face and Gesture Recognition. Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman. 2018. VGGFace2: A dataset for recognising faces across pose and age. In International Conference on Automatic Face and Gesture Recognition."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/641007.641040"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2005.03.005"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3011549.3011551"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1109\/TSMCA.2007.909557","article-title":"The CAS-PEAL large-scale Chinese face database and baseline evaluations","volume":"38","author":"Gao Wen","year":"2007","unstructured":"Wen Gao , Bo Cao , Shiguang Shan , Xilin Chen , Delong Zhou , Xiaohua Zhang , and Debin Zhao . 2007 . The CAS-PEAL large-scale Chinese face database and baseline evaluations . IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans , Vol. 38 , 1 (2007), 149 -- 161 . Wen Gao, Bo Cao, Shiguang Shan, Xilin Chen, Delong Zhou, Xiaohua Zhang, and Debin Zhao. 2007. The CAS-PEAL large-scale Chinese face database and baseline evaluations. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol. 38, 1 (2007), 149--161.","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_2_13_1","volume-title":"Workshop on faces in'Real-Life'Images: detection, alignment, and recognition.","author":"Huang Gary B","year":"2008","unstructured":"Gary B Huang , Marwan Mattar , Tamara Berg , and Eric Learned-Miller . 2008 . Labeled faces in the wild: A database forstudying face recognition in unconstrained environments . In Workshop on faces in'Real-Life'Images: detection, alignment, and recognition. Gary B Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller. 2008. Labeled faces in the wild: A database forstudying face recognition in unconstrained environments. In Workshop on faces in'Real-Life'Images: detection, alignment, and recognition."},{"key":"e_1_3_2_2_14_1","volume-title":"WebCaricature: a benchmark for caricature face recognition. arXiv preprint arXiv:1703.03230","author":"Huo Jing","year":"2017","unstructured":"Jing Huo , Wenbin Li , Yinghuan Shi , Yang Gao , and Hujun Yin . 2017. WebCaricature: a benchmark for caricature face recognition. arXiv preprint arXiv:1703.03230 ( 2017 ). Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, and Hujun Yin. 2017. WebCaricature: a benchmark for caricature face recognition. arXiv preprint arXiv:1703.03230 (2017)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.527"},{"key":"e_1_3_2_2_16_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 7482--7491","author":"Kendall Alex","year":"2018","unstructured":"Alex Kendall , Yarin Gal , and Roberto Cipolla . 2018 . Multi-task learning using uncertainty to weigh losses for scene geometry and semantics . In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 7482--7491 . Alex Kendall, Yarin Gal, and Roberto Cipolla. 2018. Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 7482--7491."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2012.6199771"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.523"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46604-0_3"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305890.3305971"},{"key":"e_1_3_2_2_23_1","volume-title":"Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition","author":"Ranjan Rajeev","year":"2017","unstructured":"Rajeev Ranjan , Vishal M Patel , and Rama Chellappa . 2017 . Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition . IEEE transactions on pattern analysis and machine intelligence, Vol. 41 , 1 (2017), 121--135. Rajeev Ranjan, Vishal M Patel, and Rama Chellappa. 2017. Hyperface: A deep multi-task learning framework for face detection, landmark localization, pose estimation, and gender recognition. IEEE transactions on pattern analysis and machine intelligence, Vol. 41, 1 (2017), 121--135."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477558"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123359"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.283"},{"key":"e_1_3_2_2_29_1","volume-title":"Mis-classified Vector Guided Softmax Loss for Face Recognition. AAAI Conference on Artificial Intelligence (AAAI)","author":"Wang Xiaobo","year":"2020","unstructured":"Xiaobo Wang , Shifeng Zhang , Shuo Wang , Tianyu Fu , Hailin Shi , and Tao Mei . 2020 . Mis-classified Vector Guided Softmax Loss for Face Recognition. AAAI Conference on Artificial Intelligence (AAAI) (2020). Xiaobo Wang, Shifeng Zhang, Shuo Wang, Tianyu Fu, Hailin Shi, and Tao Mei. 2020. Mis-classified Vector Guided Softmax Loss for Face Recognition. AAAI Conference on Artificial Intelligence (AAAI) (2020)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6953"},{"key":"e_1_3_2_2_32_1","volume-title":"Learning face representation from scratch. arXiv preprint arXiv:1411.7923","author":"Yi Dong","year":"2014","unstructured":"Dong Yi , Zhen Lei , Shengcai Liao , and Stan Z Li. 2014. Learning face representation from scratch. arXiv preprint arXiv:1411.7923 ( 2014 ). Dong Yi, Zhen Lei, Shengcai Liao, and Stan Z Li. 2014. Learning face representation from scratch. arXiv preprint arXiv:1411.7923 (2014)."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00325"},{"key":"e_1_3_2_2_34_1","volume-title":"A survey on multi-task learning. arXiv preprint arXiv:1707.08114","author":"Zhang Yu","year":"2017","unstructured":"Yu Zhang and Qiang Yang . 2017. A survey on multi-task learning. arXiv preprint arXiv:1707.08114 ( 2017 ). Yu Zhang and Qiang Yang. 2017. A survey on multi-task learning. arXiv preprint arXiv:1707.08114 (2017)."},{"key":"e_1_3_2_2_35_1","volume-title":"A convex formulation for learning task relationships in multi-task learning. arXiv preprint arXiv:1203.3536","author":"Zhang Yu","year":"2012","unstructured":"Yu Zhang and Dit-Yan Yeung . 2012. A convex formulation for learning task relationships in multi-task learning. arXiv preprint arXiv:1203.3536 ( 2012 ). Yu Zhang and Dit-Yan Yeung. 2012. A convex formulation for learning task relationships in multi-task learning. arXiv preprint arXiv:1203.3536 (2012)."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00534"}],"event":{"name":"MM '20: The 28th ACM International Conference on Multimedia","location":"Seattle WA USA","acronym":"MM '20","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 28th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413726","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394171.3413726","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:16Z","timestamp":1750197676000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394171.3413726"}},"subtitle":["A Benchmark Dataset"],"short-title":[],"issued":{"date-parts":[[2020,10,12]]},"references-count":36,"alternative-id":["10.1145\/3394171.3413726","10.1145\/3394171"],"URL":"https:\/\/doi.org\/10.1145\/3394171.3413726","relation":{},"subject":[],"published":{"date-parts":[[2020,10,12]]},"assertion":[{"value":"2020-10-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}