{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T21:24:14Z","timestamp":1757453054166,"version":"3.37.3"},"reference-count":53,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41971294"],"award-info":[{"award-number":["41971294"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M680560"],"award-info":[{"award-number":["2020M680560"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Cross-Media Intelligent Technology Project of BNRist, China","award":["BNR2019TD01022"],"award-info":[{"award-number":["BNR2019TD01022"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tip.2022.3175429","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T19:34:35Z","timestamp":1653075275000},"page":"3713-3725","source":"Crossref","is-referenced-by-count":8,"title":["Data Augmentation Using Bitplane Information Recombination Model"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0747-4375","authenticated-orcid":false,"given":"Huan","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Ocean Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyi","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Management, China University of Mining and Technology (Beijing), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9721-5371","authenticated-orcid":false,"given":"Xiaolin","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Ocean Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8931-8407","authenticated-orcid":false,"given":"Weidong","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Ocean Engineering, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref2","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"25","author":"Krizhevsky"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0620-5"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09825-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00928-1_48"},{"key":"ref7","first-page":"11","article-title":"The effectiveness of data augmentation in image classification using deep learning","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Perez"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00418"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref10","first-page":"1058","article-title":"Regularization of neural networks using dropconnect","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wan"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58583-9_34"},{"key":"ref13","article-title":"BAGAN: Data augmentation with balancing GAN","author":"Mariani","year":"2018","journal-title":"arXiv:1803.09655"},{"key":"ref14","first-page":"7559","article-title":"Differentiable augmentation for data-efficient GAN training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Zhao"},{"key":"ref15","first-page":"1","article-title":"Deceive D: Adaptive pseudo augmentation for GAN training with limited data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Jiang"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2016.7797091"},{"key":"ref18","first-page":"1","article-title":"mixup: Beyond empirical risk minimization","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Zhang"},{"key":"ref19","article-title":"Improved regularization of convolutional neural networks with cutout","author":"DeVries","year":"2017","journal-title":"arXiv:1708.04552"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00612"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.2478\/msr-2014-0013"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2437396"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22273"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10043-015-0082-9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ISCA.2016.37"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.5220\/0005260203650370"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.87"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.668"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00065"},{"key":"ref33","article-title":"Light-head R-CNN: In defense of two-stage object detector","author":"Li","year":"2017","journal-title":"arXiv:1711.07264"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2018.2818020"},{"key":"ref36","article-title":"R2CNN: Rotational region CNN for orientation robust scene text detection","author":"Jiang","year":"2017","journal-title":"arXiv:1706.09579"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00296"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XLI-B7-423-2016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2727515"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010132"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2856921"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/rs10121922"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2849692"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/rs11030258"},{"volume-title":"Probabilistic Graphical Models: Principles and Techniques","year":"2009","author":"Koller","key":"ref45"},{"volume-title":"Code","year":"2022","key":"ref46"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"article-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref49"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010132"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2869884"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/83\/9626658\/09779584.pdf?arnumber=9779584","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T23:06:34Z","timestamp":1705964794000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9779584\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/tip.2022.3175429","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2022]]}}}