{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T09:32:44Z","timestamp":1770456764936,"version":"3.49.0"},"reference-count":48,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8851829","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":52,"title":["Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery"],"prefix":"10.1109","author":[{"given":"Yona Falinie A.","family":"Gaus","sequence":"first","affiliation":[]},{"given":"Neelanjan","family":"Bhowmik","sequence":"additional","affiliation":[]},{"given":"Samet","family":"Akcay","sequence":"additional","affiliation":[]},{"given":"Paolo M.","family":"Guillen-Garcia","sequence":"additional","affiliation":[]},{"given":"Jack W.","family":"Barker","sequence":"additional","affiliation":[]},{"given":"Toby P.","family":"Breckon","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00436"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref32","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref31","article-title":"Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection","author":"ak\u00e7ay","year":"2019","journal-title":"arXiv preprint arXiv 1901 04217"},{"key":"ref30","article-title":"Ganomaly : semi-supervised anomaly detection via adversarial training","author":"akcay","year":"2018","journal-title":"14th Asian Conference on Computer Vision"},{"key":"ref37","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref36","article-title":"Squeezenet: Alexnet-level accuracy with 50x fewer parameters and < 0.5 mb model size","author":"iandola","year":"2016","journal-title":"arXiv preprint arXiv 1602 07360"},{"key":"ref35","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59050-9_12"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298658"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging4020036"},{"key":"ref12","article-title":"Exposing the weakest link: As airline passenger security tightens, bombers target cargo holds","author":"greenemeier","year":"2010","journal-title":"Scientific American"},{"key":"ref13","article-title":"Brothers plead not guilty to meat grinder bomb plot","author":"brown","year":"2018","journal-title":"ABC News"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1007\/978-3-642-23672-3_44","article-title":"Visual words on baggage x-ray images","author":"bas\u00b8tan","year":"2011","journal-title":"Computer Analysis of Images and Patterns"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2013.6505833"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5244\/C.27.130"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1049\/ic.2016.0080"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref28","first-page":"21","article-title":"Detecting Anomalous Data Using Auto-Encoders","volume":"6","author":"andrews","year":"2016","journal-title":"International Journal of Machine Learning and Computing"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2812196"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1117\/12.2016646"},{"key":"ref3","first-page":"1337","article-title":"An evaluation of region based object detection strategies within x-ray baggage security imagery","author":"ak\u00e7ay","year":"2017","journal-title":"IEEE International Conference on Image Processing"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1684(02)00391-2"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"101870e","DOI":"10.1117\/12.2261101","article-title":"Representation-learning for anomaly detection in complex x-ray cargo imagery","volume":"10187","author":"andrews","year":"2017","journal-title":"Anomaly Detection and Imaging with X-Rays (ADIX) II"},{"key":"ref5","article-title":"Hand luggage restrictions at uk airports","year":"0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jairtraman.2017.10.006"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.apradiso.2012.01.011"},{"key":"ref2","first-page":"1057","article-title":"Transfer learning using convolutional neural networks for object classification within x-ray baggage security imagery","author":"ak\u00e7ay","year":"2016","journal-title":"IEEE International Conference on Image Processing"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2007.02.001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3233\/XST-160606"},{"key":"ref46","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","article-title":"Gilardoni- x-ray and ultrasounds","year":"0"},{"key":"ref48","first-page":"248","article-title":"Imagenet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref22","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","volume":"abs 1704 4861","author":"howard","year":"2017","journal-title":"CoRR"},{"key":"ref47","article-title":"Detec-tron","author":"girshick","year":"2018"},{"key":"ref21","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.11231","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","author":"szegedy","year":"2017","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref42","article-title":"Novel dataset for fine-grained image categorization","author":"khosla","year":"2011","journal-title":"First Workshop on Fine-Grained Visual Categorization IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2628381"},{"key":"ref41","article-title":"The caltech-ucsd birds-200-2011 dataset","author":"wah","year":"2011","journal-title":"Tech Rep"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1049\/ic.2016.0079"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3233\/XST-150508"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2881700"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.647"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CCST.2017.8167812"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","location":"Budapest, Hungary","start":{"date-parts":[[2019,7,14]]},"end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08851829.pdf?arnumber=8851829","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T16:26:39Z","timestamp":1664555199000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8851829\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8851829","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}