Image Forensics
31 papers with code • 0 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in Image Forensics
Celeb-DF
StreetStyle
Satire Dataset
Most implemented papers
Adversarial Attack on Deep Learning-Based Splice Localization
yizhe-ang/fake-detection-lab
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Regarding image forensics, researchers have proposed various approaches to detect and/or localize manipulations, such as splices.
Fake face detection via adaptive manipulation traces extraction network
EricGzq/AMTENnet
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Thus, we propose an adaptive manipulation traces extraction network (AMTEN), which serves as pre-processing to suppress image content and highlight manipulation traces.
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics
qbammey/adaptive_cfa_forensics
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CVPR 2020
Automatically finding suspicious regions in a potentially forged image by splicing, inpainting or copy-move remains a widely open problem.
Visual Chirality
linzhiqiu/digital_chirality
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CVPR 2020
How can we tell whether an image has been mirrored?
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences.
A Survey of Machine Learning Techniques in Adversarial Image Forensics
yizhe-ang/fake-detection-lab
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Image forensic plays a crucial role in both criminal investigations (e. g., dissemination of fake images to spread racial hate or false narratives about specific ethnicity groups) and civil litigation (e. g., defamation).
Dissecting Image Crops
basilevh/dissecting-image-crops
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ICCV 2021
The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning.
Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
andreacos/BoostingCNN-Jpeg-Primary-Quantization-Matrix-Estimation
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The method is based on a Convolutional Neural Network (CNN) that is trained to solve the estimation as a standard regression problem.
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
polimi-ispl/dip_prnu_anonymizer
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A typical trace exploited for source device identification is the Photo Response Non-Uniformity (PRNU), a noise pattern left by the device on the acquired images.
BioFors: A Large Biomedical Image Forensics Dataset
vimal-isi-edu/BioFors
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ICCV 2021
Our results and analysis show that existing algorithms developed on common computer vision datasets are not robust when applied to biomedical images, validating that more research is required to address the unique challenges of biomedical image forensics.
