Detection of Deepfake Video Using Residual Neural Network and Long Short-Term MemoryThe appearance of web-based media has implied genuine and anecdotal stories introduced in such a comparative manner that it can now and then be hard to differentiate the two. Similarly, manipulation of real photos,...
Survey on Deepfake Detection for Preventing Audio and Video Frauds Using Advanced Deep Learning Techniques Chapter © 2024 A Review on Deepfakes Detection Using Machine Learning Techniques Chapter © 2022 Advanced deepfake detection with enhanced Resnet-18 and multilayer CNN max pooling Article...
【54】Deepfake Video Detection Using Recurrent Neural Networks 提出了一个end-to-end系统。给一段视频序列,前面的CNN网络是直接用ImageNet预训练的InceptionV3模型,只是把最后的全连接层去掉来生成每一帧的2048维特征向量,特征向量输入到LSTM网络中,紧跟着一个512维的全连接层,最后用softmax计算真伪概率。 作者从...
^Güera D, Delp E J. Deepfake video detection using recurrent neural networks[C]//2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). IEEE, 2018: 1-6. ^Li Y, Chang M C, Lyu S. In ictu oculi: Exposing ai created fake videos by detecting eye ...
我们将deepfake视频检测表述为一个时空不一致性的学习过程,并设计了STIL模块,插入到ResNet模型中。 STIL模块是一种双流模型,我们将输入X从通道维上均分得到{X1, X2}。 X1进入到SIM中,以捕捉空间伪造模式。TIM则以逐帧的方式来挖掘deepfake给人脸带来的时间不一致性。ISM则将信息流从空域引入时域(说人话就是把SI...
We will use the Dlib library in addition to using the face detection algorithm to make our algorithm more accurate and stable. This will distinguish our work from the other methods that only use Dlib. To detect faces within images, there are 68 points which were obtained by training a shape...
A graphical overview of pixel motion detection using optical flow is depicted in Fig. 5. Sign in to download hi-res image Fig. 5. Visual representation of pixel based motion detection. 4.3 Inter-frame forgery detection Inter-frame means to tamper with the order of frames in the video, such...
关键词:deepfake detection的第一篇Transformer ICMR 2022,原文链接,代码链接 1 出发点和创新点 图1 DFDC数据集的人工痕迹 图1来看,不同伪造痕迹的大小尺度有很大差异 因此,提出了muti-scale的transformer JPEG压缩会带来扰动问题 因此,提出了加入频域的信息 ...
项目地址:https://github.com/peterwang512/CNNDetection 在这项工作中,研究者希望找到一种用于检测 CNN 生成图像的通用图像伪造检测方法。检测图像是否由某种特定技术生成是相对简单的,只需在由真实图像和该技术生成的图像组成的数据集上训练一个分类器即可。
With sudden proliferation in evolving Deepfake technology to manipulate media content, identity theft etc., several modern deep learning based solutions are being continuously developed for Deepfake detection, distinguishing the manipulated media. Therefore, the work presented in this paper proposes a novel...