{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T22:54:50Z","timestamp":1776725690508,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,5,19]],"date-time":"2023-05-19T00:00:00Z","timestamp":1684454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,5,19]]},"DOI":"10.1145\/3604078.3604109","type":"proceedings-article","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T16:46:07Z","timestamp":1698338767000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Image Tampering Detection Method Based on Swin Transformer and Dense Upsampling Convolution"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6720-6136","authenticated-orcid":false,"given":"Jiaqi","family":"Xu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Nanjing TECH University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0663-1853","authenticated-orcid":false,"given":"Zhenlong","family":"Du","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing TECH University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0533-2691","authenticated-orcid":false,"given":"Xiaoli","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing TECH University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0257-5858","authenticated-orcid":false,"given":"Dong","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Nanjing TECH University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2010.2078506"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2014.2381872"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2011.2129512"},{"issue":"4","key":"e_1_3_2_1_4_1","first-page":"199","article-title":"Detection of region duplication forgery in digital images using SURF[J].","volume":"8","year":"2011","unstructured":"SHIVAKUMAR B L,SANTHOSH B S . Detection of region duplication forgery in digital images using SURF[J]. International Journal of Computer Science Issues , 8 ( 4 ): 199 - 205 ( 2011 ). SHIVAKUMAR B L,SANTHOSH B S. Detection of region duplication forgery in digital images using SURF[J].International Journal of Computer Science Issues,8(4):199-205(2011).","journal-title":"International Journal of Computer Science Issues"},{"issue":"5","key":"e_1_3_2_1_5_1","first-page":"16","article-title":"Going deeper into copy-move forgery detection:exploring image telltales via multi-scale analysis and voting processes[J].","volume":"29","year":"2015","unstructured":"SILVA E, CARVALHO T, FERREIRA A, Going deeper into copy-move forgery detection:exploring image telltales via multi-scale analysis and voting processes[J]. Journal of Visual Communication and Image Representation , 29 ( 5 ): 16 - 32 ( 2015 ). SILVA E, CARVALHO T, FERREIRA A,et al Going deeper into copy-move forgery detection:exploring image telltales via multi-scale analysis and voting processes[J].Journal of Visual Communication and Image Representation,29(5):16-32(2015).","journal-title":"Journal of Visual Communication and Image Representation"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2955308"},{"key":"e_1_3_2_1_7_1","unstructured":"Shivakumar B L Santhosh Baboo S . Detection of Region Duplication Forgery in Digital Images Using SURF[J]. International Journal of Computer ence Issues (IJCSI) 8(4):199-205(2011).  Shivakumar B L Santhosh Baboo S . Detection of Region Duplication Forgery in Digital Images Using SURF[J]. International Journal of Computer ence Issues (IJCSI) 8(4):199-205(2011)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Mahdian B Saic S . [2007 Babak FSI]100+Detection of copy\u2013move forgery using a method based on blur moment invariants 171(2):180-189(2007).  Mahdian B Saic S . [2007 Babak FSI]100+Detection of copy\u2013move forgery using a method based on blur moment invariants 171(2):180-189(2007).","DOI":"10.1016\/j.forsciint.2006.11.002"},{"key":"e_1_3_2_1_9_1","unstructured":"Popescu A C Farid H . Exposing Digital Forgeries by Detecting Duplicated Image Regions[J]. Comput. dartmouth College Private Ivy League Res.univ 646(2004).  Popescu A C Farid H . Exposing Digital Forgeries by Detecting Duplicated Image Regions[J]. Comput. dartmouth College Private Ivy League Res.univ 646(2004)."},{"key":"e_1_3_2_1_10_1","volume-title":"IEEE International Conference on Multimedia & Expo. IEEE(2007)","author":"Li G","unstructured":"Li G , Wu Q , Dan T , A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries Based on DWT and SVD[C]\/\/ IEEE International Conference on Multimedia & Expo. IEEE(2007) . Li G , Wu Q , Dan T , A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries Based on DWT and SVD[C]\/\/ IEEE International Conference on Multimedia & Expo. IEEE(2007)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2455334"},{"key":"e_1_3_2_1_12_1","volume-title":"A deep learning approach to detection of splicing and copy-move forgeries in images[C]\/\/ 2016 IEEE International Workshop on Information Forensics and Security (WIFS)","author":"Yuan R","year":"2017","unstructured":"Yuan R , Ni J. A deep learning approach to detection of splicing and copy-move forgeries in images[C]\/\/ 2016 IEEE International Workshop on Information Forensics and Security (WIFS) . IEEE( 2017 ). Yuan R, Ni J. A deep learning approach to detection of splicing and copy-move forgeries in images[C]\/\/ 2016 IEEE International Workshop on Information Forensics and Security (WIFS). IEEE(2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/217130a0"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Zhao R Liu G Srinath S Improving high-level synthesis with decoupled data structure optimization[C]\/\/ ACM. ACM 1-6(2016).  Zhao R Liu G Srinath S Improving high-level synthesis with decoupled data structure optimization[C]\/\/ ACM. ACM 1-6(2016).","DOI":"10.1145\/2897937.2898030"},{"key":"e_1_3_2_1_15_1","volume-title":"RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection[C]\/\/ 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","author":"Bi X","year":"2019","unstructured":"Bi X , Wei Y , Xiao B , RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection[C]\/\/ 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) . IEEE , 30-39( 2019 ). Bi X, Wei Y, Xiao B, RRU-Net: The Ringed Residual U-Net for Image Splicing Forgery Detection[C]\/\/ 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 30-39(2019)."},{"key":"e_1_3_2_1_16_1","volume-title":"Detection and Localization of Image Forgeries using Resampling Features and Deep Learning[J]","author":"Bunk J","year":"1881","unstructured":"Bunk J , Bappy J H , Mohammed T M , Detection and Localization of Image Forgeries using Resampling Features and Deep Learning[J] . IEEE , 1881 -1889(2017). Bunk J, Bappy J H, Mohammed T M, Detection and Localization of Image Forgeries using Resampling Features and Deep Learning[J]. IEEE, 1881-1889(2017)."},{"key":"e_1_3_2_1_17_1","volume-title":"DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Islam A","year":"2020","unstructured":"Islam A , Long C , Basharat A , DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE , 4676-4685( 2020 ). Islam A, Long C, Basharat A, DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization[C]\/\/ 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 4676-4685(2020)."},{"key":"e_1_3_2_1_18_1","volume-title":"Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network[C]\/\/ 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)","author":"Yue W","year":"2018","unstructured":"Yue W , Abd-Almageed W , Natarajan P . Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network[C]\/\/ 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) . IEEE( 2018 ). Yue W, Abd-Almageed W, Natarajan P . Image Copy-Move Forgery Detection via an End-to-End Deep Neural Network[C]\/\/ 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE(2018)."},{"key":"e_1_3_2_1_19_1","volume-title":"BusterNet: detecting copy-move image forgery with source\/target localization[C]\/\/Proceedings of the 15th European Conference on Computer Vision","year":"2018","unstructured":"WU Y, ABDALMAGEED W, NATARAJAN P. BusterNet: detecting copy-move image forgery with source\/target localization[C]\/\/Proceedings of the 15th European Conference on Computer Vision . Berlin, Germany : Springer ,8-14( 2018 ). WU Y, ABDALMAGEED W, NATARAJAN P. BusterNet: detecting copy-move image forgery with source\/target localization[C]\/\/Proceedings of the 15th European Conference on Computer Vision. Berlin, Germany: Springer,8-14(2018)."},{"key":"e_1_3_2_1_20_1","volume-title":"Cao Y","author":"Liu Z","year":"2021","unstructured":"Liu Z , Lin Y , Cao Y , Swin Transformer : Hierarchical Vision Transformer using Shifted Windows [J].( 2021 ). Liu Z, Lin Y, Cao Y, Swin Transformer: Hierarchical Vision Transformer using Shifted Windows[J].(2021)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"}],"event":{"name":"ICDIP 2023: The 15th International Conference on Digital Image Processing","location":"Nanjing China","acronym":"ICDIP 2023"},"container-title":["Proceedings of the 15th International Conference on Digital Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604078.3604109","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3604078.3604109","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:16Z","timestamp":1750178176000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3604078.3604109"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,19]]},"references-count":21,"alternative-id":["10.1145\/3604078.3604109","10.1145\/3604078"],"URL":"https:\/\/doi.org\/10.1145\/3604078.3604109","relation":{},"subject":[],"published":{"date-parts":[[2023,5,19]]},"assertion":[{"value":"2023-10-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}