{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:34:59Z","timestamp":1730266499273,"version":"3.28.0"},"reference-count":27,"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\/ijcnn55064.2022.9892962","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["Measuring Noticeability: Multi-scale Context Aggregation for Prioritizing Video Anomalies"],"prefix":"10.1109","author":[{"given":"Yingying","family":"Zhong","sequence":"first","affiliation":[{"name":"Nvidia,Shanghai,China"}]},{"given":"Erika Varis","family":"Doggett","sequence":"additional","affiliation":[{"name":"Walt Disney Studios,Burbank,CA,USA"}]},{"given":"Weichu","family":"Cui","sequence":"additional","affiliation":[{"name":"Accenture Labs,Shenzhen,China"}]},{"given":"Keyu","family":"Qi","sequence":"additional","affiliation":[{"name":"Accenture Labs,Shenzhen,China"}]},{"given":"Hailing","family":"Zhou","sequence":"additional","affiliation":[{"name":"Accenture Labs,Shenzhen,China"}]},{"given":"Binghao","family":"Tang","sequence":"additional","affiliation":[{"name":"Accenture Labs,Shenzhen,China"}]},{"given":"Anna","family":"Wolak","sequence":"additional","affiliation":[{"name":"Factor13, Inc.,Seattle,WA,USA"}]},{"given":"David T.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Accenture Labs,Shenzhen,China"}]}],"member":"263","reference":[{"journal-title":"Weber's Law of Just Noticeable Differences","year":"0","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-49127-9_4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-006-1052-3"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref14","first-page":"385","author":"liu","year":"2018","journal-title":"Receptive Field Block Net for Accurate and Fast Object Detection Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"journal-title":"Multi-scale context aggregation by dilated convolutions","year":"2016","author":"yu","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.2980145"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-05300-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3758\/BF03205298"},{"key":"ref4","first-page":"4393","article-title":"Deep One-Class Classification","author":"ruff","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301590"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-015-3994-4"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2458702"},{"key":"ref5","first-page":"6105","article-title":"EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks","author":"tan","year":"2019","journal-title":"Proceedings of International Conference on Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/s18041064"},{"key":"ref7","first-page":"218","article-title":"Detection of steel surface defect based on machine learning using deep auto-encoder network","author":"kholief","year":"2017","journal-title":"Industrial Engineering and Operations Management"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2007.06.001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00201"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3306307.3328197"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2006.877397"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3127588"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.23915\/distill.00021","article-title":"Computing Receptive Fields of Convolutional Neural Networks","author":"araujo","year":"2019","journal-title":"Distillation"},{"key":"ref24","article-title":"Network in network","volume":"14","author":"lin","year":"2014","journal-title":"Proceedings of International Conference on Learning Representations"},{"key":"ref23","first-page":"3658","article-title":"Deep multi-modality collaborative learning for distant metastases predication in PET-CT soft-tissue sarcoma studies","author":"pen","year":"2019","journal-title":"Proceedings of the IEEE Engineering in Medicine and Biology Society (EMBC)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1002\/qaj.481"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.11613\/BM.2012.031"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","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\/09892962.pdf?arnumber=9892962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:57:14Z","timestamp":1667516234000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892962","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}