{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T16:21:38Z","timestamp":1778343698362,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11971073"],"award-info":[{"award-number":["11971073"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2994207","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T22:58:27Z","timestamp":1589324307000},"page":"91303-91310","source":"Crossref","is-referenced-by-count":33,"title":["A New Deep Neural Architecture Search Pipeline for Face Recognition"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2745-5545","authenticated-orcid":false,"given":"Ning","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Zekuan","family":"Yu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8945-8613","authenticated-orcid":false,"given":"Caixia","family":"Kou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"10727","article-title":"DropBlock: A regularization method for convolutional networks","author":"ghiasi","year":"2018","journal-title":"Proc NIPS"},{"key":"ref38","first-page":"1057","article-title":"Policy gradient methods for reinforcement learning with function approximation","author":"sutton","year":"1999","journal-title":"Proc NIPS"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330648"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref31","first-page":"1","article-title":"Smash: One-shot model architecture search through hypernetworks","volume":"18","author":"brock","year":"2017","journal-title":"Proc ICLR"},{"key":"ref30","first-page":"1","article-title":"You only search once: Single shot neural architecture search via direct sparse optimization","author":"zhang","year":"2019","journal-title":"Proc ICLR"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref36","article-title":"Learning face representation from scratch","author":"yi","year":"2014","journal-title":"arXiv 1411 7923"},{"key":"ref35","first-page":"8699","article-title":"Searching for efficient multi-scale architectures for dense image prediction","author":"chen","year":"2018","journal-title":"Proc NIPS"},{"key":"ref34","first-page":"1","article-title":"Graph hypernetworks for neural architecture search","author":"zhang","year":"2019","journal-title":"Proc ICLR"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"ref40","article-title":"SharpDARTS: Faster and more accurate differentiable architecture search","author":"hundt","year":"2019","journal-title":"arXiv 1903 09900"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70096-0_43"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2822810"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref14","first-page":"1","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"2017","journal-title":"Proc of the Int Conf on Learning Representations (ICLR)"},{"key":"ref15","first-page":"1","article-title":"Efficient neural architecture search via parameter sharing","author":"pham","year":"2018","journal-title":"Proc ICML"},{"key":"ref16","first-page":"1","article-title":"Darts: Differentiable architecture search","author":"liu","year":"2019","journal-title":"Proc ICLR"},{"key":"ref17","first-page":"1","article-title":"SNAS: Stochastic neural architecture search","author":"xie","year":"2019","journal-title":"Proc ICLR"},{"key":"ref18","first-page":"1","article-title":"ProxylessNAS: Direct neural architecture search on target task and hardware","author":"cai","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref19","first-page":"1","article-title":"MiLeNAS: Efficient neural architecture search via mixed-level reformulation","author":"cai","year":"2020","journal-title":"Proc CVPR"},{"key":"ref4","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ROBIO.2017.8324597"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref29","first-page":"7816","article-title":"Neural architecture optimization","author":"luo","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"ref7","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2008.08.005"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.1999.790410"},{"key":"ref9","first-page":"499","article-title":"A discriminative feature learning approach for deep face recognition","author":"wen","year":"2016","journal-title":"Proc ECCV"},{"key":"ref46","article-title":"Deepid3: Face recognition with very deep neural networks","volume":"1502 873","author":"sun","year":"2015","journal-title":"CoRR"},{"key":"ref20","first-page":"1","article-title":"SGAS: Sequential greedy architecture search","author":"li","year":"2020","journal-title":"Proc CVPR"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.578"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00552"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-97909-0_46"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref41","first-page":"1","article-title":"A performance comparison of loss functions for deep face recognition","author":"srivastava","year":"2019","journal-title":"Proc NCVPRIPG"},{"key":"ref23","first-page":"1","article-title":"Labeled faces in the wild: A database forstudying face recognition in unconstrained environments","author":"huang","year":"2008","journal-title":"Workshop on Faces in 'Real-Life' Images Detection Alignment and Recognition"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.251"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2969193"},{"key":"ref43","article-title":"A lightened CNN for deep face representation","author":"wu","year":"2015","journal-title":"arXiv 1511 02683"},{"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"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09091879.pdf?arnumber=9091879","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:02Z","timestamp":1639770722000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9091879\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2994207","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}