{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T16:54:46Z","timestamp":1768150486890,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892172","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-6","source":"Crossref","is-referenced-by-count":7,"title":["The Defects Detection in Steel Coil End Face Based on SCED-Net"],"prefix":"10.1109","author":[{"given":"Yunlong","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Shu","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, University of Chinese Academy of Sciences,Beijing,China"}]},{"given":"Chang","family":"Liu","sequence":"additional","affiliation":[{"name":"Jingrui Vision Intelligent Technology Co., Ltd,Shanghai,China"}]},{"given":"Qingjie","family":"Kong","sequence":"additional","affiliation":[{"name":"Jingrui Vision Intelligent Technology Co., Ltd,Shanghai,China"}]}],"member":"263","reference":[{"key":"ref10","first-page":"75","article-title":"Detection of coil end defects based on faster r-cnn neural network","volume":"38","author":"wang","year":"2021","journal-title":"Steel Rolling"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref12","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2017.2775345"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12500"},{"key":"ref15","article-title":"Batch renormalization: Towards reducing minibatch dependence in batch-normalized models","author":"ioffe","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref18","article-title":"Yolox: Exceeding yolo series in 2021","author":"ge","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00037"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref4","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"ArXiv Preprint"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","article-title":"Recognition system of steel coil edge defects based on svm algorithm","author":"huang","year":"0","journal-title":"Proceedings of the 14th National Conference on Signal and Intelligent Information Processing and Application"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-019-01476-x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/app8091575"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref7","article-title":"Yolov3: An incremental improvement","author":"redmon","year":"2018","journal-title":"ArXiv e-prints"},{"key":"ref2","first-page":"2","article-title":"Realization and application of on-line detection technology for end defects of steel coil","author":"pan","year":"2018","journal-title":"China Metal Bulletin"},{"key":"ref1","first-page":"3","article-title":"Application and comparison of sias and isra surface inspection system in cold rolling","volume":"43","author":"liu","year":"2020","journal-title":"Shanxi Metallurgy"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2915404"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.593"},{"key":"ref22","article-title":"mixup: Beyond empirical risk minimization","author":"zhang","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref21","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref24","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"0","journal-title":"European Conference on Computer Vision"},{"key":"ref23","article-title":"Improved regularization of convolutional neural networks with cutout","author":"devries","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.634"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16865-4_19"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","location":"Padua, Italy","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892172.pdf?arnumber=9892172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:56:36Z","timestamp":1667516196000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892172","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}