computer-vision-2

Detecting Image Manipulation

3260 papers • 126 benchmarks • 313 datasets

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Most implemented papers

Video Face Manipulation Detection Through Ensemble of CNNs

Nicolò Bonettini, Edoardo Daniele Cannas, S. Mandelli, L. Bondi, Paolo Bestagini, S. Tubaro•Wed Apr 15 2020

This paper studies the ensembling of different trained Convolutional Neural Network (CNN) models and shows that combining these networks leads to promising face manipulation detection results on two publicly available datasets with more than 119000 videos.

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TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations

M. Nießner, Shivangi Aneja, Lev Markhasin•Wed Dec 15 2021

This work introduces a novel data-driven approach that produces image-specific perturbations which are embedded in the original images that prevent face manipulation by causing the manipulation model to produce a predefined manipulation target instead of the actual manipulation.

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Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization

Konstantinos Triaridis, Vasileios Mezaris•Sun Dec 31 2023

This paper proposes two distinct methods: one that produces independent features from each forensic filter and then fuses them and one that performs early mixing of different modal outputs and produces early combined features (this is referred to as early fusion).

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