{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T04:20:54Z","timestamp":1730262054941,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T00:00:00Z","timestamp":1697414400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,16]],"date-time":"2023-10-16T00:00:00Z","timestamp":1697414400000},"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":[[2023,10,16]]},"DOI":"10.1109\/iecon51785.2023.10312208","type":"proceedings-article","created":{"date-parts":[[2023,11,16]],"date-time":"2023-11-16T18:52:10Z","timestamp":1700160730000},"page":"01-05","source":"Crossref","is-referenced-by-count":0,"title":["CSA: Channel-Wise Similarity Attention for Vehicle State Classification"],"prefix":"10.1109","author":[{"given":"Youlkyeong","family":"Lee","sequence":"first","affiliation":[{"name":"University of Ulsan,Dept. of Electrical Electronic and Computer Engineering,Ulsan,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jehwan","family":"Choi","sequence":"additional","affiliation":[{"name":"University of Ulsan,Dept. of Electrical Electronic and Computer Engineering,Ulsan,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinsu","family":"An","sequence":"additional","affiliation":[{"name":"University of Ulsan,Dept. of Electrical Electronic and Computer Engineering,Ulsan,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kanghyun","family":"Jo","sequence":"additional","affiliation":[{"name":"University of Ulsan,Dept. of Electrical Electronic and Computer Engineering,Ulsan,Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs\/1409.1556","author":"Simonyan","year":"2015","journal-title":"CoRR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IWIS56333.2022.9920801"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IECON49645.2022.9968729"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.690"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.4324\/9780203978948-13"},{"journal-title":"ultralytics\/yolov 5: v5.0 - yolov5-p6 1280 models, aws, supervise.ly and youtube integrations","year":"2021","author":"Jocher","key":"ref8"},{"key":"ref9","article-title":"Deep anomaly detection using geometric transformations","author":"Golan","year":"2018","journal-title":"Neural Information Processing Systems"},{"key":"ref10","volume":"abs\/2004.10934","author":"Bochkovskiy","year":"2020","journal-title":"Yolov 4: Optimal speed and accuracy of object detection"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/arxiv.1710.09412"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1704.04861"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref17","article-title":"Gaussian error linear units (gelus)","author":"Hendrycks","year":"2016","journal-title":"arXiv: Learning"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref20","article-title":"Instance normalization: The missing ingredient for fast stylization","volume":"abs\/1607.08022","author":"Ulyanov","year":"2016","journal-title":"ArXiv"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3119563"},{"key":"ref22","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"Paszke","year":"2019","journal-title":"NeurIPS"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","volume":"abs\/1412.6980","author":"Kingma","year":"2014","journal-title":"CoRR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.75"}],"event":{"name":"IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society","start":{"date-parts":[[2023,10,16]]},"location":"Singapore, Singapore","end":{"date-parts":[[2023,10,19]]}},"container-title":["IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10311571\/10311610\/10312208.pdf?arnumber=10312208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T15:34:51Z","timestamp":1709393691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10312208\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,16]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/iecon51785.2023.10312208","relation":{},"subject":[],"published":{"date-parts":[[2023,10,16]]}}}