行了,实在是盯不住了要睡了。这篇文章我没有看到哪里说是用的是blackbox dataset来算auc。所以对于没有见过的模型应该会不准确。不过这个模型第一关,识别脸都没过。。。 海外党想试试的话,colab需要改一行 installation package才能跑。 我起床了。进了这个门好像就没睡过。。。脑子是一团浆糊。。。(文我明...
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation methods: Deepfakes, Face2Face, FaceSwap and NeuralTextures. The data has been sourced from 977 youtube videos and all videos contain a trackable mostly ...
Github of the FaceForensics dataset. Contribute to mr-rithish/FaceForensics development by creating an account on GitHub.
If you would like to download the FaceForensics++ dataset, please fill outthis google formand, once accepted, we will send you the link to our download script. If you have not received a response within a week, it is likely that your email is bouncing - please check this before sending ...
《FaceForensics++: Learning to Detect Manipulated Facial Images》A Rössler, D Cozzolino, L Verdoliva, C Riess, J Thies, M Nießner [Technical University of Munich & University Federico II of Naples & University of Erlangen-Nuremberg] (2019) O网页链接 view:O网页链接 GitHub(dataset):O网页...
The resulting publicly available dataset is at least an order of magnitude larger than comparable alternatives and it enables us to train data-driven forgery detectors in a supervised fashion. We show that the use of additional domain specific knowledge improves forgery detection to an unprecedented ...
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation methods: Deepfakes, Face2Face, FaceSwap and NeuralTextures. The data has been sourced from 977 youtube videos and all videos contain a trackable mostly...
Few-shot V2V FaceForensics++数据集包含977个脸部说话视频 和 json,该数据集是一个面部伪造数据集,它使研究人员能够以有监督的方式训练基于深度学习的方法。数据集包含使用四种最新方法创建的操作,即Face2Face、FaceSwap、DeepFakes和NeuralTextures。 乌拉__--- 11枚 CC0 面部识别 91 267 2021-02-07 详情...
This dataset is over an order of magnitude larger than comparable, publicly available, forgery datasets. Based on this data, we performed a thorough analysis of data-driven forgery detectors. We show that the use of additional domain-specific knowledge improves forgery detection to unprecedented ...
FaceForensics++ is a forensics dataset consisting of 1000 original video sequences that have been manipulated with four automated face manipulation methods: Deepfakes, Face2Face, FaceSwap and NeuralTextures. The data has been sourced from 977 youtube vid