CASIA Image Tampering Detection Evaluation Database

By Jing Dong, Wei Wang, Tien-Ping Tan. 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

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RAISE: a raw images dataset for digital image forensics (2015, methodology): “The Casia dataset [9] tried to overcome this issue by providing more realistic spliced images.”
PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization (2021, background): “2) Fine-tuned model: The network weights of the pre-trained model are used to initiate the ﬁne-tuned models that will be trained on the training split of Coverage, CASIA, and NIST16 datasets, respectively.”
MFC Datasets: Large-Scale Benchmark Datasets for Media Forensic Challenge Evaluation (2019, background): “CASIA’s Image Tampering Detection Evaluation Database (2013) [32] focuses on splicing and tampering.”
Learning Rich Features for Image Manipulation Detection (2018, methodology): “The images are selected from the COVER, Columbia and CASIA 1.0.”
Media Forensics and DeepFakes: An Overview (2020, background): “Also widespread is the Casia dataset, proposed in 2013 [202].”
SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization (2020, methodology): “These datasets include (1) base training dataset as proposed in [37]; (2) NIST16 [25]; (3) Columbia [24]; (4) Coverage [33]; (5) CASIA [9].”