{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T19:11:01Z","timestamp":1782328261277,"version":"3.54.5"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","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-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972239"],"award-info":[{"award-number":["61972239"]}],"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":["62071122"],"award-info":[{"award-number":["62071122"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2020GY-024"],"award-info":[{"award-number":["2020GY-024"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015401","name":"Key Research and Development Program Projects of Shaanxi Province","doi-asserted-by":"publisher","award":["2021GY-182"],"award-info":[{"award-number":["2021GY-182"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3264214","type":"journal-article","created":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T17:37:37Z","timestamp":1680543457000},"page":"42104-42112","source":"Crossref","is-referenced-by-count":22,"title":["Context-Aware and Attention-Driven Weighted Fusion Traffic Sign Detection Network"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6860-4594","authenticated-orcid":false,"given":"Guibao","family":"Wang","sequence":"first","affiliation":[{"name":"School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lizhe","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3095-6655","authenticated-orcid":false,"given":"Lanmei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Physics, Xidian University, Xi&#x2019;an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","article-title":"An image is worth 16&#x00D7;16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"arXiv 2010 11929"},{"key":"ref12","first-page":"1","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Proc 31st Conf Neural Inf Process Syst (NIPS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref11","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv 2004 10934"},{"key":"ref10","first-page":"21","article-title":"SSD: Single shot MultiBox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref16","first-page":"1","article-title":"Intriguing properties of vision transformers","author":"naseer","year":"2021","journal-title":"Proc 35th Conf Neural Inf Process Syst (NeurIPS)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2482461"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00929"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2858826"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01009"},{"key":"ref45","first-page":"1","article-title":"Stand-alone self-attention in vision models","volume":"32","author":"ramachandran","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2913588"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3164083"},{"key":"ref41","first-page":"2961","article-title":"Mask R-CNN","author":"gkioxari","year":"2017","journal-title":"Proc IEEE Int Conf Comput Vis"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00338"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3145467"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref5","first-page":"116","article-title":"ShuffleNet V2: Practical guidelines for efficient CNN architecture design","author":"ma","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref40","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref35","first-page":"837","article-title":"Real time detection of small objects","volume":"9","author":"nayan","year":"2020","journal-title":"Int J Innov Technol Exploring Eng"},{"key":"ref34","first-page":"566","article-title":"Learning data augmentation strategies for object detection","author":"zoph","year":"2020","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2896952"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3074273"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.083"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2972338"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093394"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00018"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(02)00156-7"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01079"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"ref24","article-title":"OverFeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2013","journal-title":"arXiv 1312 6229"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.232"},{"key":"ref26","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2843815"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.11.026"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.12.111"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s150102161"},{"key":"ref28","first-page":"1","article-title":"Synthetic data generation using DCGAN for improved traffic sign recognition","volume":"34","author":"dewi","year":"2021","journal-title":"Neural Comput Appl"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2911727"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2019.107160"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10091556.pdf?arnumber=10091556","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T17:45:33Z","timestamp":1685382333000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10091556\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3264214","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}