{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:20:34Z","timestamp":1771467634799,"version":"3.50.1"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T00:00:00Z","timestamp":1653350400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T00:00:00Z","timestamp":1653350400000},"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":[[2022,5,24]]},"DOI":"10.1109\/ncc55593.2022.9806755","type":"proceedings-article","created":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T16:09:38Z","timestamp":1656950978000},"page":"391-396","source":"Crossref","is-referenced-by-count":4,"title":["Deep Imbalanced Data Learning Approach for Video Anomaly Detection"],"prefix":"10.1109","author":[{"given":"Avinash","family":"Ratre","sequence":"first","affiliation":[{"name":"IIT Roorkee,Department of ECE,Roorkee,India"}]},{"given":"Vinod","family":"Pankajakshan","sequence":"additional","affiliation":[{"name":"IIT Roorkee,Department of ECE,Roorkee,India"}]}],"member":"263","reference":[{"key":"ref10","first-page":"1","article-title":"Video anomaly detection and localization via gaussian mixture fully convo-lutional variational autoencoder","volume":"195","author":"fan","year":"2020","journal-title":"Computer Vision and Image Under-standing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107515"},{"key":"ref12","first-page":"8127","article-title":"Strength from weakness: Fast learning using weak supervision","volume":"119","author":"robinson","year":"2020","journal-title":"Proc 37th Int Conf Machine Learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.03.073"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93713-7_55"},{"key":"ref16","first-page":"1","article-title":"Aggregate channel features for multi-view face detection","author":"yang","year":"2014","journal-title":"Proc IEEE\/IAPR Int Conf Biometrics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.03.064"},{"key":"ref18","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"Proc 3rd Int Conf Learning Representations"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.86"},{"key":"ref28","first-page":"1","article-title":"Learning from complemen-tary labels","author":"ishida","year":"2017","journal-title":"Proc 31st Conf Neural Information Processing Systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428433"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00188"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_24"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6126"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.62"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2984093"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2016.10.010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2832648"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.097"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00678"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/NCC.2018.8599969"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2002909"},{"key":"ref21","year":"0","journal-title":"UCSD Anomaly Detection Dataset"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2012.08.010"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.08.005"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.139"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-017-2567-x"}],"event":{"name":"2022 National Conference on Communications (NCC)","location":"Mumbai, India","start":{"date-parts":[[2022,5,24]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["2022 National Conference on Communications (NCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9806463\/9806464\/09806755.pdf?arnumber=9806755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T20:41:07Z","timestamp":1659645667000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9806755\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,24]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/ncc55593.2022.9806755","relation":{},"subject":[],"published":{"date-parts":[[2022,5,24]]}}}