Image splicing forgery detection combining coarse to refined convolutional neural network and adaptive clustering

2019/09/23 by Bin Xiao, Wei Yang, Yang Wei +3 · 8 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Digital Media Forensic Detection #Cell Image Analysis Techniques #Adversarial Robustness in Machine Learning

paper · doi:10.1016/j.ins.2019.09.038

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• D-Unet: A Dual-encoder U-Net for Image Splicing Forgery Detection and Localization
• DCU-Net: a dual-channel U-shaped network for image splicing forgery detection. [europepmc]
• Image tampering detection based on RDS-YOLOv5 feature enhancement transformation. [europepmc]
• DFST-UNet: Dual-Domain Fusion Swin Transformer U-Net for Image Forgery Localization. [europepmc]
• Multi-resolution transfer learning for tampered image classification using SE-enhanced fused-MBConv and optimized CNN heads. [europepmc]
• Multi-scale and deeply supervised network for image splicing localization. [europepmc]
• AMSEANet: An Edge-Guided Adaptive Multi-Scale Network for Image Splicing Detection and Localization. [europepmc]