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Image Forensics

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Showing 26–50 of 108 papers

TitleStatusHype
Constrained R-CNN: A general image manipulation detection model—0
Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment?—0
Contrast Enhancement Estimation for Digital Image Forensics—0
Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage—0
CTP-Net: Character Texture Perception Network for Document Image Forgery Localization—0
GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection—0
High dynamic range image forensics using cnn—0
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices—0
Focus Manipulation Detection via Photometric Histogram Analysis—0
Camera Model Identification with SPAIR-Swin and Entropy based Non-Homogeneous Patches—0
Forensic Discrimination between Traditional and Compressive Imaging Systems—0
Digital Image Forensics vs. Image Composition: An Indirect Arms Race—0
Feature base fusion for splicing forgery detection based on neuro fuzzy—0
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution—0
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis—0
Device (In)Dependence of Deep Learning-based Image Age Approximation—0
Camera-based Image Forgery Localization using Convolutional Neural Networks—0
Device-based Image Matching with Similarity Learning by Convolutional Neural Networks that Exploit the Underlying Camera Sensor Pattern Noise—0
Face Phylogeny Tree Using Basis Functions—0
Application of DenseNet in Camera Model Identification and Post-processing Detection—0
DMF-Net: Dual-Branch Multi-Scale Feature Fusion Network for copy forgery identification of anti-counterfeiting QR code—0
Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network—0
Detecting Recolored Image by Spatial Correlation—0
An Architecture for the detection of GAN-generated Flood Images with Localization Capabilities—0
Detecting GAN-generated Imagery using Color Cues—0
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