{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T07:46:38Z","timestamp":1784619998588,"version":"3.55.0"},"reference-count":75,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61771026"],"award-info":[{"award-number":["61771026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176010"],"award-info":[{"award-number":["62176010"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61620106003"],"award-info":[{"award-number":["61620106003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61971418"],"award-info":[{"award-number":["61971418"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003213","name":"Key Project of Beijing Municipal Education Commission, China","doi-asserted-by":"publisher","award":["KZ201910005008"],"award-info":[{"award-number":["KZ201910005008"]}],"id":[{"id":"10.13039\/501100003213","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2023,9]]},"DOI":"10.1109\/tnnls.2021.3130168","type":"journal-article","created":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T20:23:00Z","timestamp":1638476580000},"page":"5614-5628","source":"Crossref","is-referenced-by-count":40,"title":["Image Manipulation Localization Using Attentional Cross-Domain CNN Features"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8542-4168","authenticated-orcid":false,"given":"Shuaibo","family":"Li","sequence":"first","affiliation":[{"name":"Faculty of Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4037-9900","authenticated-orcid":false,"given":"Shibiao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9652-4260","authenticated-orcid":false,"given":"Wei","family":"Ma","sequence":"additional","affiliation":[{"name":"Faculty of Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4371-3903","authenticated-orcid":false,"given":"Qiu","family":"Zong","sequence":"additional","affiliation":[{"name":"Faculty of Technology, Beijing University of Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2909827.2930786"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","first-page":"1","article-title":"Image region forgery detection: A deep learning approach","author":"zhang","year":"2016","journal-title":"Proc SG-CRC"},{"key":"ref56","article-title":"GIID-Net: Generalizable image inpainting detection via neural architecture search and attention","author":"wu","year":"2021","journal-title":"arXiv 2101 07419"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2016.7823911"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3206004.3206010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2015.2438008"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7026072"},{"key":"ref53","article-title":"Multitask attention network for lane detection and fitting","author":"wang","year":"2020","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2876865"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01605"},{"key":"ref10","first-page":"3289","article-title":"Convolutional sparse autoencoders for image classification","volume":"29","author":"luo","year":"2018","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref54","article-title":"ABSSNet: Attention-based spatial segmentation network for traffic scene understanding","author":"li","year":"2021","journal-title":"IEEE Trans Cybern"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2895466"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.532"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00977"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00116"},{"key":"ref51","article-title":"ABC-CNN: An attention based convolutional neural network for visual question answering","author":"chen","year":"2015","journal-title":"arXiv 1511 05960"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.512"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.338"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.286"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.305"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054068"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2018.01.010"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00042"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_19"},{"key":"ref49","first-page":"2048","article-title":"Show, attend and tell: Neural image caption generation with visual attention","volume":"2015","author":"xu","year":"2015","journal-title":"Comput Sci"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5946978"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.03.019"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2013.09.013"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCPhot.2012.6215223"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.203"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-013-0688-y"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2009.02.001"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3082031.3083247"},{"key":"ref35","first-page":"2","article-title":"A picture&#x2019;s worth&#x2026;digital image analysis and forensics","volume":"6","author":"krawetz","year":"2007","journal-title":"Hacker Factor Solutions"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2008.2012215"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2012.2191946"},{"key":"ref36","first-page":"120","article-title":"Tampered region localization of digital color images based on JPEG compression noise","author":"wang","year":"2010","journal-title":"Proc Int Workshop Digit Watermark"},{"key":"ref31","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Proces Syst"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref30","article-title":"Deep learning for fine-grained image analysis: A survey","author":"wei","year":"2019","journal-title":"arXiv 1907 03069"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2202227"},{"key":"ref33","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1774088.1774427"},{"key":"ref2","article-title":"CFA-aware features for steganalysis of color images","volume":"9409","author":"goljan","year":"2015","journal-title":"Proc of the SPIE Media Watermarking Security and Forensics"},{"key":"ref1","first-page":"2395","article-title":"Literature survey on image manipulation detection","volume":"2","author":"joseph","year":"2015","journal-title":"International Journal of Engineering Research and Technology"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2015.7368565"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.235"},{"key":"ref71","year":"2017","journal-title":"IEEE IFS-TC Image Forensics Challenge Dataset"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ChinaSIP.2013.6625374"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-016-3795-2"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2190402"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532339"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2345479"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.743"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2545112"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2004.924603"},{"key":"ref69","year":"2020","journal-title":"Columbia Image Splicing Detection Evaluation Dataset"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2007.4285009"},{"key":"ref64","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput Assist Interv"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1038\/nrn755"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2006.11.002"},{"key":"ref66","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref21","first-page":"746","article-title":"Robust detection of region-duplication forgery in digital image","volume":"4","author":"luo","year":"2006","journal-title":"Proc Int Conf Pattern Recognit"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.170"},{"key":"ref27","first-page":"842","article-title":"The application of two-level attention models in deep convolutional neural network for fine-grained image classification","author":"xiao","year":"2015","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.476"},{"key":"ref60","year":"2020","journal-title":"NIST Nimble 2016 Datasets"},{"key":"ref62","article-title":"Learnable pooling with context gating for video classification","author":"miech","year":"2017","journal-title":"arXiv 1706 06905"},{"key":"ref61","first-page":"838","article-title":"Joint line segmentation and transcription for end-to-end handwritten paragraph recognition","author":"bluche","year":"2016","journal-title":"Proc Adv Neural Inf Proces Syst"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/10237282\/09633127.pdf?arnumber=9633127","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T18:30:45Z","timestamp":1695666645000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9633127\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":75,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2021.3130168","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9]]}}}