Results 81 to 90 of about 130,964 (204)

The PS-Battles Dataset - an Image Collection for Image Manipulation Detection

, 2018
The boost of available digital media has led to a significant increase in derivative work. With tools for manipulating objects becoming more and more mature, it can be very difficult to determine whether one piece of media was derived from another one or
Heller, Silvan, Rossetto, Luca, Schuldt, Heiko   +2 more
core  

Face Forgery Detection with Long-Range Noise Features and Multilevel Frequency-Aware Clues

IET Biometrics
The widespread dissemination of high-fidelity fake faces created by face forgery techniques has caused serious trust concerns and ethical issues in modern society.
Yi Zhao, Xin Jin, Song Gao, Liwen Wu, Shaowen Yao, Qian Jiang   +5 more
doaj   +1 more source

Face forgery video detection based on expression key sequences

Journal of King Saud University: Computer and Information Sciences
In order to minimize additional computational costs in detecting forged videos, and enhance detection accuracy, this paper employs dynamic facial expression sequences as key sequences, replacing original video sequences as inputs for the detection model.
Yameng Tu, Jianbin Wu, Liang Lu, Shuaikang Gao, MingHao Li   +4 more
doaj   +1 more source

FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection

AAAI Conference on Artificial Intelligence
Existing face forgery detection methods achieve promising performance when training and testing forgery data are from identical manipulation types, while they fail to generalize well to unseen samples.
Bo Wang, Zhao Zhang, Suiyi Zhao, Xianming Ye, Haijun Zhang, Meng Wang   +5 more
semanticscholar   +1 more source

Generalization challenges in video deepfake detection: methods, obstacles, and technological advances

大数据
With the rapid development of artificial intelligence, deepfake technology has become a powerful tool for generating realistic audio, images, and videos. However, its widespread use and decreasing costs pose serious threats to personal privacy and social
LI Junjie, WANG Jianzong, ZHANG Xulong, QU Xiaoyang   +3 more
doaj   +2 more sources

Face Forgery Detection Using Convolutional Neural Network

International Journal For Multidisciplinary Research
In order to identify deep fakes and other forms of altered facial information, this work details the development and implementation of a face forgery detection system. We propose a system that recognizes subtle changes in face images and videos using state-of-the-art machine learning techniques. After being trained on publically available datasets, the
Chandani -, Saumya Pathak -, Nikhil Kumar -, Nancy Agarwal -   +3 more
openaire   +1 more source

3D data augmentation and dual-branch model for robust face forgery detection

Graphical Models
We propose Dual-Branch Network (DBNet), a novel deepfake detection framework that addresses key limitations of existing works by jointly modeling 3D-temporal and fine-grained texture representations. Specifically, we aim to investigate how to (1) capture
Changshuang Zhou, Frederick W.B. Li, Chao Song, Dong Zheng, Bailin Yang   +4 more
doaj   +1 more source

Deep learning technology for face forgery detection: A survey

Neurocomputing
The paper "Deep Learning Technology for Face Forgery Detection: A Survey" is hereby formally withdrawn. The reason for this withdrawal is that I did not adequately consult and obtain proper authorization from the corresponding author during the submission process.
Ma, Lixia, Yang, Puning, Xu, Yuting, Yang, Ziming, Li, Peipei, Huang, Huaibo   +5 more
openaire   +2 more sources

Towards reliable deepfake detection from uncertainty calibration perspective

Visual Intelligence
The rapid development of face forgery technology has raised concerns among researchers about information security. To mitigate the malicious abuse of the technology, deepfake detection has proven to be an effective countermeasure.
Xiaoxu Jin, Weinan Guan, Wei Wang, Jing Dong   +3 more
doaj   +1 more source

Multi-Domain Perception Transformer for Generalized Forgery Image Detection

Applied Sciences
With the rapid advancement of generative AI (AIGC) technology, synthetic images are increasingly approaching real pictures in terms of resolution and semantic consistency. Traditional detection methods face numerous challenges, such as insufficient cross-
Qiaoyue Man, Seok-Jeong Gee, Young-Im Cho   +2 more
doaj   +1 more source