{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:49:09Z","timestamp":1778258949422,"version":"3.51.4"},"reference-count":55,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L221018"],"award-info":[{"award-number":["L221018"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62201149"],"award-info":[{"award-number":["62201149"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2023ZKPYJD01"],"award-info":[{"award-number":["2023ZKPYJD01"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tim.2023.3288258","type":"journal-article","created":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T17:35:52Z","timestamp":1687541752000},"page":"1-13","source":"Crossref","is-referenced-by-count":19,"title":["An Efficient Few-Shot Object Detection Method for Railway Intrusion via Fine-Tune Approach and Contrastive Learning"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1814-530X","authenticated-orcid":false,"given":"Tao","family":"Ye","sequence":"first","affiliation":[{"name":"School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1227-7309","authenticated-orcid":false,"given":"Zhikang","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4672-1527","authenticated-orcid":false,"given":"Xiaosong","family":"Li","sequence":"additional","affiliation":[{"name":"School of Physics and Optoelectronic Engineering, Foshan University, Foshan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0318-3549","authenticated-orcid":false,"given":"Zongyang","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0078-5675","authenticated-orcid":false,"given":"Xiao-Zhi","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computing, University of Eastern Finland, Kuopio, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00856"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3102613"},{"key":"ref15","first-page":"9919","article-title":"Frustratingly simple few-shot object detection","author":"wang","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11716"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref52","author":"wu","year":"2019","journal-title":"Detectron2"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3154751"},{"key":"ref55","article-title":"Improved baselines with momentum contrastive learning","author":"chen","year":"2020","journal-title":"arXiv 2003 04297"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3156267"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3228162"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58520-4_12"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00851"},{"key":"ref19","article-title":"Few-shot learning with graph neural networks","author":"garcia","year":"2017","journal-title":"arXiv 1711 04043"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3088545"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3070733"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00525"},{"key":"ref48","first-page":"1","article-title":"Deep learning face representation by joint identification-verification","volume":"27","author":"sun","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref47","article-title":"Identification of novel classes for improving few-shot object detection","author":"shangguan","year":"2023","journal-title":"arXiv 2303 10422"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25153"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/WACV51458.2022.00117"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00727"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_27"},{"key":"ref49","article-title":"Representation learning with contrastive predictive coding","author":"van den oord","year":"2018","journal-title":"arXiv 1807 03748"},{"key":"ref8","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref7","first-page":"21","article-title":"SSD: Single shot multibox detector","author":"liu","year":"2016","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref9","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"ge","year":"2021","journal-title":"arXiv 2107 08430"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.09.116"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2835390"},{"key":"ref6","first-page":"1","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"28","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3923\/itj.2014.2611.2618"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00534"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00049"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3173687"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3236636"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00815"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2019.8832957"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.3021640"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2969993"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3116315"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2603441"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00407"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2016.11.026"},{"key":"ref23","first-page":"241","article-title":"Intrusion detection algorithm for railway clearance with rapid DBSCAN clustering","volume":"33","author":"guo","year":"2012","journal-title":"Chin J Sci Instrum"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.838507"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-015-2654-x"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00975"},{"key":"ref22","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01681-x"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2720721"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533104"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2018.2868490"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10012124\/10158740.pdf?arnumber=10158740","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T17:41:00Z","timestamp":1689615660000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10158740\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3288258","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}