{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T14:52:39Z","timestamp":1780930359299,"version":"3.54.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"General Authority for Defence Development (GADD) in Saudi Arabia","award":["GADD_2024_01_0204"],"award-info":[{"award-number":["GADD_2024_01_0204"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3666623","type":"journal-article","created":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T21:18:12Z","timestamp":1771622292000},"page":"29692-29705","source":"Crossref","is-referenced-by-count":1,"title":["Beyond Frames: 3D-CoAtNet for Generalizable Deepfake Video Detection"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8411-655X","authenticated-orcid":false,"given":"Eman","family":"Alattas","sequence":"first","affiliation":[{"name":"Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Clark","sequence":"additional","affiliation":[{"name":"School of Computer Science, The University of Sheffield, Sheffield, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bassma","family":"Alsulami","sequence":"additional","affiliation":[{"name":"Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salma Kammoun","family":"Jarraya","sequence":"additional","affiliation":[{"name":"Education and Advancement, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1520"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/cscloud-edgecom49738.2020.00021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.mex.2025.103632"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-018-1503-0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/jstsp.2020.3007250"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/wifs.2018.8630761"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2019.00009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682602"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/icpr48806.2021.9412711"},{"key":"ref10","article-title":"An image is worth 16$\\times$\n16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref11","volume-title":"What Is a Transformer Model","author":"Merritt","year":"2022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475332"},{"key":"ref13","first-page":"3965","article-title":"CoAtNet: Marrying convolution and attention for all data sizes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Dai"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/vcip53242.2021.9675402"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-06433-3_19"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-03867-9"},{"key":"ref17","article-title":"DeepViT: Towards deeper vision transformer","author":"Zhou","year":"2021","journal-title":"arXiv:2103.11886"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118423"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/app12062953"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-09196-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging11060194"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr42600.2020.00327"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ijcb48548.2020.9304936"},{"key":"ref24","article-title":"The DeepFake detection challenge (DFDC) dataset","author":"Dolhansky","year":"2020","journal-title":"arXiv:2006.07397"},{"key":"ref25","article-title":"Layer normalization","author":"Lei Ba","year":"2016","journal-title":"arXiv:1607.06450"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/icpeca56706.2023.10075760"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/qce60285.2024.10249"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00474"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref31","volume-title":"The Feedforward Network (FFN) in the Transformer Model","author":"Herath","year":"2024"},{"key":"ref32","volume-title":"Torchvision Main Documentation","year":"2025"},{"key":"ref33","volume-title":"X3D Weights","year":"2025"},{"key":"ref34","article-title":"Optimizing knowledge distillation in transformers: Enabling multi-head attention without alignment barriers","author":"Bing","year":"2025","journal-title":"arXiv:2502.07436"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/app15126622"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/icip49359.2023.10222682"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/app12157365"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12010087"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.22214\/ijraset.2025.74079"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/icris52159.2020.00030"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45103-X_50"},{"key":"ref42","volume-title":"Center of Excellence in High Performance Computing Center","year":"2023"},{"key":"ref43","volume-title":"Fvcore Documentation-Detectron2 0.6 Documentation","year":"2026"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.128946"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2023.3290752"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3297280.3297410"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_6"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.00222"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr46437.2021.01605"},{"key":"ref51","article-title":"A convolutional LSTM based residual network for deepfake video detection","author":"Tariq","year":"2020","journal-title":"arXiv:2009.07480"},{"key":"ref52","first-page":"2274","article-title":"Recurrent convolutional strategies for face manipulation detection in videos","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. Workshops (CVPRW)","author":"Sabir"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449809"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.04.014"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19955"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11404125.pdf?arnumber=11404125","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T20:57:36Z","timestamp":1772485056000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11404125\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3666623","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}