{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:06Z","timestamp":1750220826488,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,15]],"date-time":"2019-10-15T00:00:00Z","timestamp":1571097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,15]]},"DOI":"10.1145\/3343031.3356056","type":"proceedings-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T16:32:26Z","timestamp":1571675546000},"page":"2526-2530","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Make the Best of Face Clues in iQIYI Celebrity VideoIdentification Challenge 2019"],"prefix":"10.1145","author":[{"given":"Xi","family":"Fang","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Ying","family":"Zou","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2019,10,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"volume-title":"a statistical treatment of the sigmoidresponse curve","author":"Finney David John","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","unstructured":"J Willard Gibbs. 2014.Elementary principles in statistical mechanics. Courier Corporation.  J Willard Gibbs. 2014.Elementary principles in statistical mechanics. Courier Corporation."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1016-8"},{"key":"e_1_3_2_1_6_1","unstructured":"Priya Goyal Piotr Doll\u00e1r Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia and Kaiming He. 2017. Accurate large minibatch sgd: Training imagenet in 1 hour. arXiv preprint arXiv:1706.02677(2017).  Priya Goyal Piotr Doll\u00e1r Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia and Kaiming He. 2017. Accurate large minibatch sgd: Training imagenet in 1 hour. arXiv preprint arXiv:1706.02677(2017)."},{"volume-title":"Bag of Tricks for Image Classification with Convolutional Neural Networks. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).","author":"He Tong","key":"e_1_3_2_1_7_1"},{"key":"e_1_3_2_1_8_1","unstructured":"Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Acceleratingdeep network training by reducing internal covariate shift. arXiv preprintarXiv:1502.03167(2015).  Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Acceleratingdeep network training by reducing internal covariate shift. arXiv preprintarXiv:1502.03167(2015)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"volume-title":"Xiangju Lu, and Danming Xie.","year":"2018","author":"Liu Yuanliu","key":"e_1_3_2_1_11_1"},{"volume-title":"Sgdr: Stochastic gradient descent with warm restarts.arXiv preprint arXiv:1608.03983(2016).","year":"2016","author":"Loshchilov Ilya","key":"e_1_3_2_1_12_1"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.522"},{"volume-title":"Proceedings of the IEEE International Conference on Computer Vision. 3456--3465","author":"Noh Hyeonwoo","key":"e_1_3_2_1_16_1"},{"volume-title":"Fine-tuning CNN image retrieval with no human annotation","year":"2018","author":"Radenovic Filip","key":"e_1_3_2_1_17_1"},{"key":"e_1_3_2_1_18_1","unstructured":"Prajit Ramachandran Barret Zoph and Quoc V Le. 2017. Searching for activation functions. arXiv preprint arXiv:1710.05941(2017).  Prajit Ramachandran Barret Zoph and Quoc V Le. 2017. Searching for activation functions. arXiv preprint arXiv:1710.05941(2017)."},{"volume-title":"Dropout: a simple way to prevent neural networks fromover fitting.The Journal of Machine Learning Research15, 1","year":"2014","author":"Srivastava Nitish","key":"e_1_3_2_1_20_1"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.389"}],"event":{"name":"MM '19: The 27th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Nice France","acronym":"MM '19"},"container-title":["Proceedings of the 27th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3343031.3356056","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3343031.3356056","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:23Z","timestamp":1750202003000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3343031.3356056"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,15]]},"references-count":22,"alternative-id":["10.1145\/3343031.3356056","10.1145\/3343031"],"URL":"https:\/\/doi.org\/10.1145\/3343031.3356056","relation":{},"subject":[],"published":{"date-parts":[[2019,10,15]]},"assertion":[{"value":"2019-10-15","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}