{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:38:00Z","timestamp":1774021080119,"version":"3.50.1"},"reference-count":56,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956420","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"1178-1185","source":"Crossref","is-referenced-by-count":3,"title":["Anomaly Detection via Learnable Pretext Task"],"prefix":"10.1109","author":[{"given":"Loic","family":"Jezequel","sequence":"first","affiliation":[{"name":"ETIS UMR 8051 (CY Cergy Paris Université, ENSEA, CNRS),F-95000"}]},{"given":"Ngoc-Son","family":"Vu","sequence":"additional","affiliation":[{"name":"ETIS UMR 8051 (CY Cergy Paris Université, ENSEA, CNRS),F-95000"}]},{"given":"Jean","family":"Beaudet","sequence":"additional","affiliation":[{"name":"Idemia Identity & Security,Osny,France,95520"}]},{"given":"Aymeric","family":"Histace","sequence":"additional","affiliation":[{"name":"ETIS UMR 8051 (CY Cergy Paris Université, ENSEA, CNRS),F-95000"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2151","article-title":"SelectiveNet: A deep neural network with an integrated reject option","volume":"97","author":"geifman","year":"2019","journal-title":"Proceedings of the 36th International Conference on Machine Learning ICML Long Beach California USA ser Proceedings of Machine Learning Research"},{"key":"ref38","article-title":"Classification-based anomaly detection for general data","author":"bergman","year":"2020","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/34.24792"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/BFb0086566"},{"key":"ref31","article-title":"DADA: Differentiable automatic data augmentation","author":"li","year":"2020","journal-title":"the European Conference on Computer Vision (ECCV)"},{"key":"ref30","first-page":"113","article-title":"Au-toAugment: Learning augmentation strategies from data","author":"cubuk","year":"2019","journal-title":"IEEE Conf Computer Vision and Pattern Recognition (CVPR)"},{"key":"ref37","first-page":"15 637","article-title":"Using self-supervised learning can improve model robustness and uncertainty","author":"hendrycks","year":"2019","journal-title":"Advances in Neural Information Processing Systems 32 Annual Conference on Neural Information Processing Systems NeurIPS"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33843-5_23"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CRC51253.2020.9253460"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2876884"},{"key":"ref28","article-title":"CSI: Novelty detection via contrastive learning on distributionally shifted instances","author":"tack","year":"2020","journal-title":"Advances in Neural Information Processing Systems 33 Annual Conference on Neural Information Processing Systems NeurIPS Virtual"},{"key":"ref27","article-title":"Fine-grained out-of-distribution detection with mixup outlier exposure","author":"zhang","year":"2021","journal-title":"CoRR"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/AVSS52988.2021.9663783"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2975958"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIICT1.2019.8741421"},{"key":"ref20","first-page":"69","article-title":"Unsupervised learning of visual representations by solving jigsaw puzzles","volume":"9910","author":"noroozi","year":"2016","journal-title":"Computer Vision - ECCV 2016 -14th European Conference Amsterdam the Netherlands Proceedings Part VI ser Lecture Notes in Computer Science"},{"key":"ref22","first-page":"649","article-title":"Colorful image colorization","volume":"9907","author":"zhang","year":"2016","journal-title":"Computer Vision - ECCV 2016 - 14th European Conference Amsterdam the Netherlands Proceedings Part III ser Lecture Notes in Computer Science"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2496141"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.167"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"ref26","article-title":"Deep anomaly detection with outlier exposure","author":"hendrycks","year":"2019","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref25","article-title":"Efficient anomaly detection using self-supervised multi-cue tasks","author":"jezequel","year":"2021","journal-title":"CoRR"},{"key":"ref50","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2019.2916652"},{"key":"ref56","article-title":"SGDR: Stochastic gradient descent with warm restarts","author":"loshchilov","year":"2017","journal-title":"5th International Conference on Learning Representations ICLR Toulon France Conference Track Proceedings"},{"key":"ref55","first-page":"1139","article-title":"On the importance of initialization and momentum in deep learning","volume":"28","author":"sutskever","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning ICML Atlanta GA USA ser JMLR Workshop and Conference Proceedings"},{"key":"ref54","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref53","doi-asserted-by":"crossref","DOI":"10.5244\/C.30.87","article-title":"Wide residual networks","author":"zagoruyko","year":"2016","journal-title":"Proceedings of British Machine Vision Conference BMVC2009"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-92627-8_20"},{"key":"ref10","first-page":"622","article-title":"GANomaly: Semi-supervised anomaly detection via adversarial training","volume":"11363","author":"akcay","year":"2018","journal-title":"Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision Perth Australia Revised Selected Papers Part III ser Lecture Notes in Computer Science"},{"key":"ref11","first-page":"164","article-title":"Perceptual image anomaly detection","volume":"12046","author":"tuluptceva","year":"2019","journal-title":"Pattern Recognition - 5th Asian Conference ACPR Auckland New Zealand Revised Selected Papers Part I ser Lecture Notes in Computer Science"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.091"},{"key":"ref12","first-page":"146","article-title":"Unsupervised anomaly detection with generative adversarial networks to guide marker discovery","volume":"10265","author":"schlegl","year":"2017","journal-title":"Information Processing in Medical Imaging - 25th International Conference IPMI Boone NC USA Proceedings ser Lecture Notes in Computer Science"},{"key":"ref13","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","volume":"119","author":"chen","year":"2020","journal-title":"Proceedings of the 37th International Conference on Machine Learning ICML Virtual Event ser Proceedings of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR56361.2022.9956091"},{"key":"ref15","first-page":"12 310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume":"139","author":"zbontar","year":"2021","journal-title":"Proceedings of the 38th International Conference on Machine Learning ICML Virtual Event ser Proceedings of Machine Learning Research"},{"key":"ref16","article-title":"Mean-shifted contrastive loss for anomaly detection","author":"reiss","year":"2021","journal-title":"CoRR"},{"key":"ref17","article-title":"SSD: A unified framework for self-supervised outlier detection","author":"sehwag","year":"2021","journal-title":"9th International Conference on Learning Representations ICLR Virtual Event"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00954"},{"key":"ref19","article-title":"Unsupervised representation learning by predicting image rotations","author":"gidaris","year":"2018","journal-title":"6th International Conference on Learning Representations ICLR Vancouver BC Canada Conference Track Proceedings"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3096067"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3072863"},{"key":"ref6","article-title":"InFlow: Robust outlier detection utilizing normalizing flows","author":"kumar","year":"2021","journal-title":"CoRR"},{"key":"ref5","article-title":"Normal-izing flows for deep anomaly detection","author":"ryzhikov","year":"2019","journal-title":"CoRR"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2019.00028"},{"key":"ref7","first-page":"14 680","article-title":"Likelihood ratios for out-of-distribution detection","author":"ren","year":"2019","journal-title":"Advances in Neural Information Processing Systems 32 Annual Conference on Neural Information Processing Systems NeurIPS"},{"key":"ref49","article-title":"Fashion-mnist: A novel image dataset for benchmarking machine learning algorithms","author":"xiao","year":"2017","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00301"},{"key":"ref46","article-title":"Deep semi-supervised anomaly detection","author":"ruff","year":"2020","journal-title":"ICLR International Conference on Learning Representations"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3623"},{"key":"ref48","article-title":"Elsa: Energy-based learning for semi-supervised anomaly detection","author":"han","year":"2021","journal-title":"CoRR"},{"key":"ref47","article-title":"Deep variational semi-supervised novelty detection","author":"daniel","year":"2019","journal-title":"CoRR"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref41","first-page":"582","article-title":"Support vector method for novelty detection","author":"sch\u00f6lkopf","year":"1999","journal-title":"Advances in Neural Information Processing Systems 12 [NIPS Conference Denver Colorado USA 1999]"},{"key":"ref44","first-page":"3581","article-title":"Semi-supervised learning with deep generative models","author":"kingma","year":"2014","journal-title":"Advances in Neural Information Processing Systems 27 Annual Conference on Neural Information Processing Systems"},{"key":"ref43","article-title":"Attribute restoration framework for anomaly detection","author":"fei","year":"2020","journal-title":"IEEE Transactions on Multimedia"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956420.pdf?arnumber=9956420","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:03:52Z","timestamp":1671480232000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956420\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956420","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}