{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T16:27:51Z","timestamp":1778171271610,"version":"3.51.4"},"reference-count":58,"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":["62073271"],"award-info":[{"award-number":["62073271"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017357","name":"International Science and Technology Cooperation Project of Fujian Province of China","doi-asserted-by":"publisher","award":["2019I0003"],"award-info":[{"award-number":["2019I0003"]}],"id":[{"id":"10.13039\/100017357","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Independent Innovation Foundation of AECC","award":["ZZCX-2018-017"],"award-info":[{"award-number":["ZZCX-2018-017"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tim.2022.3153997","type":"journal-article","created":{"date-parts":[[2022,2,24]],"date-time":"2022-02-24T20:21:41Z","timestamp":1645734101000},"page":"1-14","source":"Crossref","is-referenced-by-count":362,"title":["A Small-Sized Object Detection Oriented Multi-Scale Feature Fusion Approach With Application to Defect Detection"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6957-2942","authenticated-orcid":false,"given":"Nianyin","family":"Zeng","sequence":"first","affiliation":[{"name":"Department of Instrumental and Electrical Engineering, Xiamen University, Fujian, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9891-3809","authenticated-orcid":false,"given":"Peishu","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Instrumental and Electrical Engineering, Xiamen University, Fujian, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9576-7401","authenticated-orcid":false,"given":"Zidong","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University London, Uxbridge, U.K"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0276-9756","authenticated-orcid":false,"given":"Han","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Instrumental and Electrical Engineering, Xiamen University, Fujian, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8169-3261","authenticated-orcid":false,"given":"Weibo","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University London, Uxbridge, U.K"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1589-1267","authenticated-orcid":false,"given":"Xiaohui","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Brunel University London, Uxbridge, U.K"}]}],"member":"263","reference":[{"key":"ref1","article-title":"YOLOv4: Optimal speed and accuracy of object detection","author":"Bochkovskiy","year":"2020","journal-title":"arXiv:2004.10934"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3083561"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2956516"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00980"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3057172"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1049\/trit.2019.0019"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.447"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2021.2005178"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2844175"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-33712-3_25"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001349"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00378"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2913372"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2021.1885082"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2021.1998722"},{"key":"ref24","article-title":"Learning visual representations for transfer learning by suppressing texture","author":"Mishra","year":"2020","journal-title":"arXiv:2011.01901"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2006.479"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICMEW.2017.8026312"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_45"},{"key":"ref28","article-title":"Feature intertwiner for object detection","author":"Li","year":"2019","journal-title":"arXiv:1903.11851"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/app9183750"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.211"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2938639"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"ref35","article-title":"Learning spatial fusion for single-shot object detection","author":"Liu","year":"2019","journal-title":"arXiv:1911.09516"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.l007\/978-3-319-46448-0_2"},{"key":"ref38","article-title":"PP-YOLO: An effective and efficient implementation of object detector","author":"Long","year":"2020","journal-title":"arXiv:2007.12099"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref42","first-page":"1","article-title":"YOLOV3: An incremental improvement","volume-title":"Proc. IEEE Conf. CVPR","author":"Redmon"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref44","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Simonyan"},{"key":"ref45","first-page":"9333","article-title":"SNIPER: Efficient multi-scale training","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Singh"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2021.104397"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2021.1003919"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1710.09412"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00442"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref55","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. 9th Int. Conf. Learn. Represent. (ICLR)","author":"Zhu"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3119563"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6999"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1080\/00207721.2021.1917721"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/9717300\/09720996.pdf?arnumber=9720996","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:13:52Z","timestamp":1705536832000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9720996\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/tim.2022.3153997","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}