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Image Forgery Detection

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Showing 1–47 of 47 papers

TitleStatusHype
Hierarchical Fine-Grained Image Forgery Detection and LocalizationCode2
Deep Image Composition Meets Image ForgeryCode1
Fusion Transformer with Object Mask Guidance for Image Forgery AnalysisCode1
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and LocalizationCode1
Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised ClusteringCode1
Comprint: Image Forgery Detection and Localization using Compression FingerprintsCode1
Robust Image Forgery Detection Over Online Social Network Shared ImagesCode1
Analysing Statistical methods for Automatic Detection of Image ForgeryCode1
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point DefectsCode1
Fake face detection via adaptive manipulation traces extraction networkCode1
SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery DetectionCode0
So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection—0
Learning Universal Features for Generalizable Image Forgery LocalizationCode0
DF2023: The Digital Forensics 2023 Dataset for Image Forgery Detection—0
DF-Net: The Digital Forensics Network for Image Forgery DetectionCode0
Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization—0
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization—0
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language ModelsCode0
Digital Image Forensics: A quantitative & qualitative comparison between State-of-the-art-AI and Traditional Techniques for detection and localization of image manipulationsCode0
Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning—0
Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency—0
Deep Image Restoration For Image Anti-ForensicsCode0
DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization—0
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection—0
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization—0
Training Data Improvement for Image Forgery Detection using Comprint—0
Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection—0
Image Forgery Detection with Interpretability—0
Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage—0
Forgery Blind Inspection for Detecting Manipulations of Gel Electrophoresis ImagesCode0
On Addressing the Impact of ISO Speed upon PRNU and Forgery Detection—0
Exposing Fake Images with Forensic Similarity Graphs—0
A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery DetectionCode0
Design an Advance computer-aided tool for Image Authentication and Classification—0
Smart Novel Computer-based Analytical Tool for Image Forgery Authentication—0
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces—0
Blind Document Image Quality Prediction Based on Modification of Quality Aware Clustering Method Integrating a Patch Selection Strategy—0
Image forgery detection for high resolution images using SIFT and RANSAC algorithm—0
Satellite Image Forgery Detection and Localization Using GAN and One-Class ClassifierCode0
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis—0
Boundary-based Image Forgery Detection by Fast Shallow CNNCode0
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images—0
Image Splicing Detection via Camera Response Function Analysis—0
Investigating Human Factors in Image Forgery Detection—0
Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection—0
siftservice.com - Turning a Computer Vision algorithm into a World Wide Web Service—0
Image forgery detection based on the fusion of machine learning and block-matching methods—0
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