{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:55:06Z","timestamp":1761396906726,"version":"3.37.3"},"reference-count":56,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2024.3438845","type":"journal-article","created":{"date-parts":[[2024,8,20]],"date-time":"2024-08-20T15:37:03Z","timestamp":1724168223000},"page":"1-14","source":"Crossref","is-referenced-by-count":2,"title":["IA-Det: Iterative Attention-Based Robust Object Detection in Adverse Traffic Scenes"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1758-5936","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"first","affiliation":[{"name":"National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9033-181X","authenticated-orcid":false,"given":"Kailong","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Yunnan Normal University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2748-9697","authenticated-orcid":false,"given":"Junhui","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Yunnan Normal University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3846-9157","authenticated-orcid":false,"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4607-0501","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Yunnan Normal University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.patrec.2021.02.003","article-title":"A method of cross-layer fusion multi-object detection and recognition based on improved faster R-CNN model in complex traffic environment","volume":"145","author":"Li","year":"2021","journal-title":"Pattern Recognit. Lett."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2738645"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2019.2926364"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03217-9"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-10455-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2022.3210226"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1016\/j.engappai.2022.105504","article-title":"BANet: Small and multi-object detection with a bidirectional attention network for traffic scenes","volume":"117","author":"Wang","year":"2023","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-023-11271-8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3376819"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122669"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108213"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3381272"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01160"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00841"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93247-3_70"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3014013"},{"key":"ref17","article-title":"D-YOLO a robust framework for object detection in adverse weather conditions","author":"Chu","year":"2024","journal-title":"arXiv:2403.09233"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3255106"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25312"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3251414"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956149"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2021.3093379"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00926"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102215","article-title":"RA-MMIR: Multi-modal image registration by robust adaptive variation attention gauge field","volume":"105","author":"Qiu","year":"2024","journal-title":"Inf. Fusion"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2933581"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3235381"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3318671"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00865"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00092"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00729"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00690"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-73003-5_196"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008981510081"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0033290"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref42","article-title":"YOLOv9: Learning what you want to learn using programmable gradient information","author":"Wang","year":"2024","journal-title":"arXiv:2402.13616"},{"key":"ref43","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00754"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_22"},{"key":"ref47","article-title":"Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection","author":"Li","year":"2020","journal-title":"arXiv:2006.04388"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00139"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00978"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref52","article-title":"FoveaBox: Beyond anchor-based object detector","author":"Kong","year":"2019","journal-title":"arXiv:1904.03797"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00975"},{"key":"ref54","article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"Wang","year":"2022","journal-title":"arXiv:2207.02696"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8206396"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.12.004"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10367905\/10639492.pdf?arnumber=10639492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T04:53:48Z","timestamp":1726030428000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10639492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tim.2024.3438845","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"type":"print","value":"0018-9456"},{"type":"electronic","value":"1557-9662"}],"subject":[],"published":{"date-parts":[[2024]]}}}