{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:25:24Z","timestamp":1784643924530,"version":"3.55.0"},"reference-count":70,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014206","name":"Foundation of Shanxi Key Laboratory of Machine Vision and Virtual Reality","doi-asserted-by":"publisher","award":["447-110103"],"award-info":[{"award-number":["447-110103"]}],"id":[{"id":"10.13039\/501100014206","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Project of Applied Basic Research Project of Shanxi Province","award":["202403021222180"],"award-info":[{"award-number":["202403021222180"]}]},{"name":"Youth Project of Applied Basic Research Project of Shanxi Province","award":["202403021222152"],"award-info":[{"award-number":["202403021222152"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306314"],"award-info":[{"award-number":["62306314"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tifs.2025.3620642","type":"journal-article","created":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T17:39:25Z","timestamp":1760463565000},"page":"11194-11207","source":"Crossref","is-referenced-by-count":3,"title":["Exploring X-Ray Prohibited Item Detection From Long-Tailed Learning Perspective"],"prefix":"10.1109","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4080-4209","authenticated-orcid":false,"given":"Boying","family":"Wang","sequence":"first","affiliation":[{"name":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, School of Computer Science and Technology, North University of China, Taiyuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9517-5383","authenticated-orcid":false,"given":"Fuwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, School of Computer Science and Technology, North University of China, Taiyuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8742-0996","authenticated-orcid":false,"given":"Xiangfei","family":"Fang","sequence":"additional","affiliation":[{"name":"Institute of Software, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8918-0981","authenticated-orcid":false,"given":"Ruyi","family":"Ji","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5695-2009","authenticated-orcid":false,"given":"Renshuai","family":"Tao","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2441-4510","authenticated-orcid":false,"given":"Yaming","family":"Cao","sequence":"additional","affiliation":[{"name":"Shanxi Key Laboratory of Machine Vision and Virtual Reality, School of Computer Science and Technology, North University of China, Taiyuan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Shandong University of Finance and Economics, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0903-9131","authenticated-orcid":false,"given":"Jing","family":"Liu","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3641282"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3122801"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.12.059"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00586"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01392"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3251857"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3402439"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3468632"},{"key":"ref10","first-page":"8975","article-title":"Towards self-interpretable graph-level anomaly detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Liu"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.37"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2628381"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.14355\/spr.2015.04.001"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00222"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00536"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413828"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01074"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3268118"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01971-y"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01622-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2015.169"},{"key":"ref23","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Ren"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00615"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00682"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.324"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref28","volume-title":"Ultralytics YOLO11","author":"Jocher","year":"2024"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-023-17754-z"},{"key":"ref31","first-page":"2980","article-title":"Focal loss for dense object detection","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Ross"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10921-015-0315-7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3154287"},{"key":"ref34","first-page":"1463","article-title":"Image-level or object-level? A tale of two resampling strategies for long-tailed detection","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Chang"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00076"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01168"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00173"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00550"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SMC53992.2023.10394457"},{"key":"ref41","first-page":"34077","article-title":"Self-supervised aggregation of diverse experts for test-agnostic long-tailed recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Zhang"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124613"},{"key":"ref43","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.314"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2642789"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i8.32885"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3485721"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00522"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_27"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.440"},{"key":"ref52","first-page":"6678","article-title":"Object guided external memory network for video object detection","volume-title":"Proc. Int. Conf. Comput. Vis."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01309"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00093"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00975"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01284"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00091"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58555-6_16"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2019.2956516"},{"key":"ref61","article-title":"Sparse R-CNN: End-to-end object detection with learnable proposals","author":"Sun","year":"2020","journal-title":"arXiv:2011.12450"},{"key":"ref62","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00841"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58595-2_22"},{"key":"ref65","article-title":"DINO: DETR with improved DeNoising anchor boxes for end-to-end object detection","author":"Zhang","year":"2022","journal-title":"arXiv:2203.03605"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00957"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.11.034"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10206\/10810755\/11202210.pdf?arnumber=11202210","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T17:57:04Z","timestamp":1761587824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11202210\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":70,"URL":"https:\/\/doi.org\/10.1109\/tifs.2025.3620642","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}