Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Media forensics and deepfakes: an overview
L Verdoliva - IEEE journal of selected topics in signal …, 2020 - ieeexplore.ieee.org
With the rapid progress in recent years, techniques that generate and manipulate
multimedia content can now provide a very advanced level of realism. The boundary …
multimedia content can now provide a very advanced level of realism. The boundary …
Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
information in environmental awareness and understanding. With the rapid progress of …
Towards universal fake image detectors that generalize across generative models
With generative models proliferating at a rapid rate, there is a growing need for general
purpose fake image detectors. In this work, we first show that the existing paradigm, which …
purpose fake image detectors. In this work, we first show that the existing paradigm, which …
Implicit identity leakage: The stumbling block to improving deepfake detection generalization
In this paper, we analyse the generalization ability of binary classifiers for the task of
deepfake detection. We find that the stumbling block to their generalization is caused by the …
deepfake detection. We find that the stumbling block to their generalization is caused by the …
Multi-attentional deepfake detection
Face forgery by deepfake is widely spread over the internet and has raised severe societal
concerns. Recently, how to detect such forgery contents has become a hot research topic …
concerns. Recently, how to detect such forgery contents has become a hot research topic …
Spatial-phase shallow learning: rethinking face forgery detection in frequency domain
The remarkable success in face forgery techniques has received considerable attention in
computer vision due to security concerns. We observe that up-sampling is a necessary step …
computer vision due to security concerns. We observe that up-sampling is a necessary step …
Thinking in frequency: Face forgery detection by mining frequency-aware clues
As realistic facial manipulation technologies have achieved remarkable progress, social
concerns about potential malicious abuse of these technologies bring out an emerging …
concerns about potential malicious abuse of these technologies bring out an emerging …
Frequency-aware discriminative feature learning supervised by single-center loss for face forgery detection
Face forgery detection is raising ever-increasing interest in computer vision since facial
manipulation technologies cause serious worries. Though recent works have reached …
manipulation technologies cause serious worries. Though recent works have reached …
M2tr: Multi-modal multi-scale transformers for deepfake detection
The widespread dissemination of Deepfakes demands effective approaches that can detect
perceptually convincing forged images. In this paper, we aim to capture the subtle …
perceptually convincing forged images. In this paper, we aim to capture the subtle …
Face x-ray for more general face forgery detection
In this paper we propose a novel image representation called face X-ray for detecting
forgery in face images. The face X-ray of an input face image is a greyscale image that …
forgery in face images. The face X-ray of an input face image is a greyscale image that …