{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T22:09:23Z","timestamp":1769983763134,"version":"3.49.0"},"reference-count":65,"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-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61762038"],"award-info":[{"award-number":["61762038"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61861016"],"award-info":[{"award-number":["61861016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010857","name":"Jiangxi Provincial Department of Science and Technology","doi-asserted-by":"publisher","award":["20192ACB21004"],"award-info":[{"award-number":["20192ACB21004"]}],"id":[{"id":"10.13039\/501100010857","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010857","name":"Key Research and Development Plan of Jiangxi Provincial Science and Technology Department","doi-asserted-by":"publisher","award":["20171BBG70093"],"award-info":[{"award-number":["20171BBG70093"]}],"id":[{"id":"10.13039\/501100010857","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010857","name":"Key Research and Development Plan of Jiangxi Provincial Science and Technology Department","doi-asserted-by":"publisher","award":["20192BBE50071"],"award-info":[{"award-number":["20192BBE50071"]}],"id":[{"id":"10.13039\/501100010857","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013139","name":"Humanity and Social Science Fund of Ministry of Education of China","doi-asserted-by":"publisher","award":["20YJAZH142"],"award-info":[{"award-number":["20YJAZH142"]}],"id":[{"id":"10.13039\/501100013139","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Humanity and Social Science Foundation of Jiangxi University","award":["TQ19101"],"award-info":[{"award-number":["TQ19101"]}]},{"name":"Science and Technology Projects of Jiangxi Provincial Department of Education","award":["GJJ190323"],"award-info":[{"award-number":["GJJ190323"]}]},{"name":"Foundation of Guizhou Provincial Key Laboratory of Public Big Data","award":["2018BDKFJJ011"],"award-info":[{"award-number":["2018BDKFJJ011"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3020382","type":"journal-article","created":{"date-parts":[[2020,8,31]],"date-time":"2020-08-31T21:05:23Z","timestamp":1598907923000},"page":"159511-159529","source":"Crossref","is-referenced-by-count":6,"title":["Gathering Effective Information for Real-Time Material Recognition"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8375-0039","authenticated-orcid":false,"given":"Hongbin","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziliang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0103-9084","authenticated-orcid":false,"given":"Qipeng","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinpeng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangli","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiwang","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghong","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937375"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.734"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2797248"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2729025"},{"key":"ref30","first-page":"6638","article-title":"CatBoost: Unbiased boosting with categorical features","author":"prokhorenkova","year":"2018","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2017.71"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.646"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.305"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/Cybermatics_2018.2018.00131"},{"key":"ref62","article-title":"Large scale GAN training for high fidelity natural image synthesis","author":"brock","year":"2018","journal-title":"arXiv 1809 11096"},{"key":"ref61","first-page":"5767","article-title":"Improved training of wasserstein gans","author":"gulrajani","year":"2017","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref63","article-title":"Mixup: Beyond empirical risk minimization","author":"zhang","year":"2017","journal-title":"arXiv 1710 09412"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2017.2742704"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.89"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00161"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099641"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1125-z"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298970"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298998"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1873987"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2907850"},{"key":"ref24","first-page":"1247","article-title":"Deep canonical correlation analysis","author":"andrew","year":"2013","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/0899766042321814"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459183"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2851382"},{"key":"ref50","first-page":"1794","article-title":"Linear spatial pyramid matching using sparse coding for image classification","author":"yang","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit"},{"key":"ref51","first-page":"689","article-title":"Multimodal deep learning","volume":"2011","author":"ngiam","year":"0","journal-title":"Proc Int Conf Mach Learn (ICML) Bellevue Washington USA June"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/2559636.2560022"},{"key":"ref58","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref57","first-page":"4278","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"Proc AAAI Conf Artif Intell (AAAI)"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206772"},{"key":"ref55","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007618119488"},{"key":"ref53","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: A gradient boosting machine","volume":"29","author":"friedman","year":"2011","journal-title":"Ann Statist"},{"key":"ref52","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":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.155"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540207"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2700322"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5244\/C.25.48"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33765-9_25"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.93"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.230"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.163"},{"key":"ref17","article-title":"Rigid-motion scattering for texture classification","author":"sifre","year":"2014","journal-title":"arXiv 1403 1687 [cs]"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2015.2475625"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0872-3"},{"key":"ref4","article-title":"Semi-supervised haptic material recognition for robots using generative adversarial networks","author":"erickson","year":"2017","journal-title":"arXiv 1707 02796"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_28"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.01.023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s13735-019-00176-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46454-1_47"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2019.03.017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540039"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472000"},{"key":"ref46","first-page":"404","article-title":"Surf: Speeded up robust features","author":"bay","year":"2006","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref45","first-page":"1e","article-title":"Computer vision using local binary patterns","author":"pietik\u00e4inen","year":"2011","journal-title":"Computer Vision Using Local Binary Patterns"},{"key":"ref48","first-page":"244","article-title":"Kernel descriptors for visual recognition","author":"bo","year":"2010","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref47","first-page":"135","article-title":"Efficient match kernel between sets of features for visual recognition","author":"bo","year":"2009","journal-title":"Proc Neural Inf Process Syst (NIPS)"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"ref41","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"Proc Int Conf Learn Represent (ICLR)"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/S0079-6123(06)55002-2"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09180292.pdf?arnumber=9180292","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T20:02:49Z","timestamp":1639771369000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9180292\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":65,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3020382","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}