{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:21:39Z","timestamp":1740169299723,"version":"3.37.3"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":["U1813202","62003381"],"award-info":[{"award-number":["U1813202","62003381"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFB1313600","2018YFC0831800"],"award-info":[{"award-number":["2020YFB1313600","2018YFC0831800"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004829","name":"Research Programs of Sichuan Science and Technology Department","doi-asserted-by":"publisher","award":["17ZDYF3184"],"award-info":[{"award-number":["17ZDYF3184"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018560","name":"Shenzhen and Hong Kong Joint Innovation Project","doi-asserted-by":"publisher","award":["SGLH20161209-145252406"],"award-info":[{"award-number":["SGLH20161209-145252406"]}],"id":[{"id":"10.13039\/501100018560","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NUPTSF","award":["NY221040"],"award-info":[{"award-number":["NY221040"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3190404","type":"journal-article","created":{"date-parts":[[2022,7,12]],"date-time":"2022-07-12T19:26:58Z","timestamp":1657654018000},"page":"73945-73955","source":"Crossref","is-referenced-by-count":4,"title":["Deep Transfer Learning for Wall Bulge Endpoints Regression for Autonomous Decoration Robots"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6894-1200","authenticated-orcid":false,"given":"Mahmoud A.","family":"Eldosoky","sequence":"first","affiliation":[{"name":"Center for Robotics, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4883-5096","authenticated-orcid":false,"given":"Fanyu","family":"Zeng","sequence":"additional","affiliation":[{"name":"Engineering Research Center of Wideband Wireless Communication Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3030-2694","authenticated-orcid":false,"given":"Xin","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5549-312X","authenticated-orcid":false,"given":"Shuzhi Sam","family":"Ge","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, National University of Singapore, 21 Lower Kent Ridge Rd, Singapore"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2016.2603342"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2781233"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00145"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3077129"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-020-01138-6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00727"},{"key":"ref8","first-page":"1","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref9","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_34"},{"key":"ref15","article-title":"How transferable are features in deep neural networks?","author":"Yosinski","year":"2014","journal-title":"arXiv:1411.1792"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2017.09.110"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2020.103199"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8814000"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2018.08.011"},{"key":"ref20","article-title":"Automatic pavement crack detection based on structured prediction with the convolutional neural network","author":"Fan","year":"2018","journal-title":"arXiv:1802.02208"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533052"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/8796743"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSCE.2018.8685007"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8515213"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2910595"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2961375"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref30","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Finn"},{"key":"ref31","first-page":"1","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09826752.pdf?arnumber=9826752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T05:41:20Z","timestamp":1706766080000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9826752\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3190404","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2022]]}}}