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Deceptive images can be shared in seconds with social networking services, posing substantial risks.
“Columbia image splicing detection evaluation dataset,”
Tian-Tsong Ng, Jessie Hsu, and Shih-Fu Chang, · 2009
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“Casia image tampering detection evaluation database,”
Jing Dong, Wei Wang, and Tieniu Tan, · 2013
Earlier work this paper cites.
“Casia image tampering detection evaluation database,”
Jing Dong, Wei Wang, and Tieniu Tan, · 2013
Earlier work this paper cites.
“Fully convolutional networks for semantic segmentation,”
Jonathan Long, Evan Shelhamer, and Trevor Darrell, · 2015
Earlier work this paper cites.
“Coverage—a novel database for copy-move forgery detection,”
Bihan Wen, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, and Stefan Winkler, · 2016
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“Evaluation of random field models in multi-modal unsupervised tampering localization,”
Paweł Korus and Jiwu Huang, · 2016
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“Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,”
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille, · 2017
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“Image splicing localization using a multi-task fully convolutional network (mfcn),”
Ronald Salloum, Yuzhuo Ren, and C-C Jay Kuo, · 2018
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“Fighting fake news: Image splice detection via learned self-consistency,”
Minyoung Huh, Andrew Liu, Andrew Owens, and Alexei A Efros, · 2018
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“Rru-net: The ringed residual u-net for image splicing forgery detection,”
Xiuli Bi, Yang Wei, Bin Xiao, and Weisheng Li, · 2019
Earlier work this paper cites.
“ManTra-Net: Manipulation tracing network for detection and localization of image forgeries with anomalous features,”
Yue Wu, Wael AbdAlmageed, and Premkumar Natarajan, · 2019
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“Localization of deep inpainting using high-pass fully convolutional network,”
Haodong Li and Jiwu Huang, · 2019
Cited alongside, same era.
“Hybrid lstm and encoder–decoder architecture for detection of image forgeries,”
Jawadul H Bappy, Cody Simons, Lakshmanan Nataraj, BS Manjunath, and Amit K Roy-Chowdhury, · 2019
Cited alongside, same era.
“Mfc datasets: Large-scale benchmark datasets for media forensic challenge evaluation,”
Haiying Guan, Mark Kozak, Eric Robertson, Yooyoung Lee, Amy N Yates, Andrew Delgado, Daniel Zhou, Timothee Kheyrkhah, Jeff Smith, and Jonathan Fiscus, · 2019
Cited alongside, same era.
“Defacto: Image and face manipulation dataset,”
Gaël Mahfoudi, Badr Tajini, Florent Retraint, Frederic Morain-Nicolier, Jean Luc Dugelay, and PIC Marc, · 2019
Cited alongside, same era.
“Span: Spatial pyramid attention network for image manipulation localization,”
Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, and Ram Nevatia, · 2020
Cited alongside, same era.
“Learning jpeg compression artifacts for image manipulation detection and localization,”
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, and Changick Kim, · 2022
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“Robust image forgery detection over online social network shared images,”
Haiwei Wu, Jiantao Zhou, Jinyu Tian, and Jun Liu, · 2022
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“Masked-attention mask transformer for universal image segmentation,”
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar, · 2022
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“Masked autoencoders are scalable vision learners,”
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick, · 2022
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“Visual prompt tuning,”
Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, and Ser-Nam Lim, · 2022
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“Explicit visual prompting for low-level structure segmentations,”
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“Imd2020: A large-scale annotated dataset tailored for detecting manipulated images,”
Adam Novozamsky, Babak Mahdian, and Stanislav Saic, · 2020
Cited alongside, same era.
“Deformable detr: Deformable transformers for end-to-end object detection,”
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai, · 2020
Cited alongside, same era.
“Swin transformer: Hierarchical vision transformer using shifted windows,”
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo, · 2021
Cited alongside, same era.
“Pscc-net: Progressive spatio-channel correlation network for image manipulation detection and localization,”
Xiaohong Liu, Yaojie Liu, Jun Chen, and Xiaoming Liu, · 2022
Cited alongside, same era.
“Mvss-net: Multi-view multi-scale supervised networks for image manipulation detection,”
Chengbo Dong, Xinru Chen, Ruohan Hu, Juan Cao, and Xirong Li, · 2022
Cited alongside, same era.
Weihuang Liu, Xi Shen, Chi-Man Pun, and Xiaodong Cun, · 2023
Later among the works it cites.
“Pixel-inconsistency modeling for image manipulation localization,”
Chenqi Kong, Anwei Luo, Shiqi Wang, Haoliang Li, Anderson Rocha, and Alex C Kot, · 2023
Later among the works it cites.
“Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers,”
Jiaming Zhang, Huayao Liu, Kailun Yang, Xinxin Hu, Ruiping Liu, and Rainer Stiefelhagen, · 2023
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“Learning to immunize images for tamper localization and self-recovery,”
Qichao Ying, Hang Zhou, Zhenxing Qian, Sheng Li, and Xinpeng Zhang, · 2023
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“Draw: Defending camera-shooted raw against image manipulation,”
Xiaoxiao Hu, Qichao Ying, Zhenxing Qian, Sheng Li, and Xinpeng Zhang, · 2023
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