{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T11:30:05Z","timestamp":1764588605501,"version":"3.37.3"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFC3301703"],"award-info":[{"award-number":["2022YFC3301703"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62441604","62476093"],"award-info":[{"award-number":["62441604","62476093"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tifs.2024.3493594","type":"journal-article","created":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T19:50:57Z","timestamp":1731009057000},"page":"10387-10399","source":"Crossref","is-referenced-by-count":2,"title":["Online Writer Retrieval With Chinese Handwritten Phrases: A Synergistic Temporal-Frequency Representation Learning Approach"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1857-5473","authenticated-orcid":false,"given":"Peirong","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5456-0957","authenticated-orcid":false,"given":"Lianwen","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.132"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-018-6577-1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/DAS.2012.99"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR-2018.2018.00045"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2016.22"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01414-y"},{"key":"ref7","first-page":"23716","article-title":"Flamingo: A visual language model for few-shot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Alayrac"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref10","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2011.17"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.111130"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-010-0116-6"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107975"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3087619"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00666"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00106"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3069237"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.235"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2013.114"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.165"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1049\/bme2.12039"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956155"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-41676-7_24"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0636-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.572"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-23117-4_3"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06555-2_24"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2005.132"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2013.12"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.12.019"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-009-0110-z"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2007.4378684"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2015.7333774"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2016.0110"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2850011"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2991880"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.01.006"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2823276"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2016.0112"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2017.114"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2016.2634921"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.003"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2981236"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3178597"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref49","first-page":"1","article-title":"An image is worth 16 \u00d7 16 words: Transformers for image recognition at scale","volume-title":"Proc. ICLR","author":"Dosovitskiy"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref51","article-title":"Escaping the big data paradigm with compact transformers","author":"Hassani","year":"2021","journal-title":"arXiv:2104.05704"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICDAR.2009.26"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref55","first-page":"1","article-title":"Self-normalizing neural networks","volume-title":"Proc. NeurIPS","volume":"30","author":"Klambauer"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00643"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.360"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00844"},{"key":"ref60","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref62","first-page":"10353","article-title":"HorNet: Efficient high-order spatial interactions with recursive gated convolutions","volume-title":"Proc. NeurIPS","volume":"35","author":"Rao"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01157"},{"key":"ref64","first-page":"36507","article-title":"MSDS: A large-scale Chinese signature and token digit string dataset for handwriting verification","volume-title":"Proc. NeurIPS","volume":"35","author":"Zhang"},{"key":"ref65","first-page":"1","article-title":"Decoupled weight decay regularization","volume-title":"Proc. ICLR","author":"Loshchilov"},{"key":"ref66","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. 33rd Conf. Neural Inf. Process. Syst.","author":"Paszke"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727426"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR-2018.2018.00092"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7899788"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10206\/10319981\/10746457.pdf?arnumber=10746457","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T07:44:20Z","timestamp":1733989460000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10746457\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/tifs.2024.3493594","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"type":"print","value":"1556-6013"},{"type":"electronic","value":"1556-6021"}],"subject":[],"published":{"date-parts":[[2024]]}}}