{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T19:21:21Z","timestamp":1775676081314,"version":"3.50.1"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Ph.D. Professional Toryumon Program"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,1]]},"DOI":"10.1109\/tits.2022.3217342","type":"journal-article","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T22:41:02Z","timestamp":1667860862000},"page":"764-777","source":"Crossref","is-referenced-by-count":43,"title":["Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3344-1959","authenticated-orcid":false,"given":"Dichao","family":"Liu","sequence":"first","affiliation":[{"name":"Graduate School of Informatics, Nagoya University, Nagoya, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1784-2314","authenticated-orcid":false,"given":"Toshihiko","family":"Yamasaki","sequence":"additional","affiliation":[{"name":"Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3008-8712","authenticated-orcid":false,"given":"Yu","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, Shiga, Japan"}]},{"given":"Kenji","family":"Mase","sequence":"additional","affiliation":[{"name":"Graduate School of Informatics, Nagoya University, Nagoya, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0196-4405","authenticated-orcid":false,"given":"Jien","family":"Kato","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ritsumeikan University, Kusatsu-shi, Shiga, Japan"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"2015 motor vehicle crashes: Overview","volume":"2016","year":"2016","journal-title":"Traffic Saf. Facts, Res. Note"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-015-0760-x"},{"key":"ref3","first-page":"1","article-title":"Overview of the 2019 crash investigation sampling system","volume":"2020","year":"2020","journal-title":"Traffic Saf. Facts, Res. Note"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2791437"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2494873"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2396031"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2977762"},{"key":"ref8","first-page":"1","article-title":"Real-time distracted driver posture classification","volume-title":"Proc. NIPS Workshop Mach. Learn. Intell. Transp. Syst.","author":"Abouelnaga"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2119483"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/EITCE47263.2019.9094987"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2262098"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00150"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SCEECS48394.2020.184"},{"key":"ref14","article-title":"Apply and compare different classical image classification method: Detect distracted driver","author":"Zhang","year":"2016"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3073599"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2015.0175"},{"key":"ref17","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","volume-title":"arXiv:1704.04861","author":"Howard","year":"2017"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref19","first-page":"1","article-title":"SqueezeNet: Alexnet-level accuracy with 50x fewer parameters and <0.5 MB model size","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Iandola"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.2995555"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3063521"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01453-z"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-019-01589-z"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58565-5_10"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12238"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00123"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00131"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00467"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref31","volume-title":"Imgaug","author":"Jung","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-05318-5_3"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00542"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_2"},{"key":"ref36","first-page":"4095","article-title":"Efficient neural architecture search via parameters sharing","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pham"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref38","first-page":"1","article-title":"DARTS: Differentiable architecture search","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Hanxiao"},{"key":"ref39","first-page":"1","article-title":"Neural architecture search with Bayesian optimisation and optimal transport","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Kirthevasan"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16387"},{"key":"ref41","first-page":"1","article-title":"Neural architecture optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Luo"},{"key":"ref42","article-title":"Caltech-UCSD Birds 200","author":"Welinder","year":"2010"},{"key":"ref43","article-title":"Pyramidal convolution: Rethinking convolutional neural networks for visual recognition","volume-title":"arXiv:2006.11538","author":"Duta","year":"2020"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11740-9_34"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3055545"},{"key":"ref46","volume-title":"State Farm Distracted Driver Detection","year":"2017"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00685"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.510"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.590"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.502"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00289"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00060"},{"key":"ref53","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":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.12.023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.10.IMAWM-162"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/SSIAI.2018.8470309"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICSSIT48917.2020.9214233"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001159"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66471-2_19"},{"key":"ref60","first-page":"1","article-title":"SGDR: Stochastic gradient descent with warm restarts","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Loshchilov"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS.2018.8639158"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.387"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500523"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref65","article-title":"The kinetics human action video dataset","volume-title":"arXiv:1705.06950","author":"Kay","year":"2017"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref67","article-title":"A new dataset and proposed convolutional neural network architecture for classification of American sign language digits","volume-title":"arXiv:2011.08927","author":"Mavi","year":"2020"},{"key":"ref68","first-page":"12","article-title":"A new 2D static hand gesture colour image dataset for ASL gestures","volume":"15","author":"Barczak","year":"2011","journal-title":"Res. Lett. Inf. Math. Sci."},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2007.4408872"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ECACE.2019.8679309"},{"key":"ref71","first-page":"1","article-title":"Hierarchical matching pursuit for image classification: Architecture and fast algorithms","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Liefeng"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0660-x"},{"key":"ref73","first-page":"1","article-title":"Learning deep features for scene recognition using places database","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"27","author":"Zhou"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3900-6"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-017-0178-1"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-018-1503-0"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10026638\/09940550.pdf?arnumber=9940550","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T01:58:30Z","timestamp":1706752710000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9940550\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1]]},"references-count":76,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tits.2022.3217342","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1]]}}}