{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T15:47:57Z","timestamp":1780760877587,"version":"3.54.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Research Committee of The Hong Kong Polytechnic University","award":["RK3G"],"award-info":[{"award-number":["RK3G"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Ind. Inf."],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1109\/tii.2024.3431069","type":"journal-article","created":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T17:46:41Z","timestamp":1722620801000},"page":"13036-13046","source":"Crossref","is-referenced-by-count":14,"title":["Few-Shot Defect Detection of Catheter Products via Enlarged Scale Feature Pyramid and Contrastive Proposal Memory Bank"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2341-775X","authenticated-orcid":false,"given":"Yuxuan","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4082-0893","authenticated-orcid":false,"given":"Waqar Ahmed","family":"Khan","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Engineering Management, College of Engineering, University of Sharjah, Sharjah, UAE"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0534-7930","authenticated-orcid":false,"given":"Sai-Ho","family":"Chung","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Maude database","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2023.102205"},{"key":"ref3","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","volume":"28","author":"Ren","year":"2015"},{"key":"ref4","article-title":"Ultralytics YOLO","author":"Jocher","year":"2023"},{"key":"ref5","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"Ge","year":"2021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2915404"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3008021"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3228392"},{"key":"ref9","first-page":"1","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu","year":"2021"},{"key":"ref10","article-title":"DINO: DETR with improved denoising anchor boxes for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00708"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3347747"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3519022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3265051"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-023-02080-w"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3280532"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00967"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3174072"},{"key":"ref19","first-page":"9919","article-title":"Frustratingly simple few-shot object detection","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_27"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00727"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3370330"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3372229"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref27","first-page":"18 661","article-title":"Supervised contrastive learning","volume-title":"Proc. Annu. Conf. Neural Inf. Process. Syst.","author":"Khosla","year":"2020"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref30","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017"},{"key":"ref31","article-title":"Quality inspection of spirit bottle defects","year":"2021"},{"key":"ref32","article-title":"Openmmlab few shot learning toolbox and benchmark","year":"2021"},{"issue":"1","key":"ref33","first-page":"723","article-title":"A kernel two-sample test","volume":"13","author":"Gretton","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109088"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1049\/joe.2019.1183"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s20061562"},{"key":"ref37","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref38","first-page":"10 096","article-title":"EfficientNetV2: Smaller models and faster training","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan","year":"2021"}],"container-title":["IEEE Transactions on Industrial Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9424\/10745137\/10621713.pdf?arnumber=10621713","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T14:41:36Z","timestamp":1732718496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10621713\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":38,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tii.2024.3431069","relation":{},"ISSN":["1551-3203","1941-0050"],"issn-type":[{"value":"1551-3203","type":"print"},{"value":"1941-0050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11]]}}}