DeepFake Detection大部分是以视频分类任务为主要任务目标,目标是通过模型辨识某段视频是否为伪造图像。 数据集中主要是针对人脸任务进行,对人脸的伪造主要包括直接换脸,单独模拟嘴唇运动,整个头部的更换模拟。 1.Deepfake Detection Challenge(DFDC)数据集 数据量高达472GB,包括了119,197个视频,每个视频时长都为10秒,但是...
DFD: The Google/Jigsaw DeepFake detection dataset has 3,068 DeepFake videos generated based on 363 original videos of 28 consented individuals of various genders, ages, and ethnic groups. DFDC(Dolhansky et al.2019): The Facebook DeepFake Detection Challenge (DFDC) Dataset is part of the DeepFak...
2)DeepfakeTIMIT:DeepFakes: a New Threat to Face Recognition? Assessment and Detection DF-TIMIT-LQ DF-TIMIT-HQ 3)FaceForensics++ dataset: FaceForensics++: Learning to Detect Manipulated Facial Images 4)DFDC: FaceBook DeepFake detection chal...
[25] Dolhansky, B., Bitton, J., Pflaum, B., Lu, J., Howes, R., Wang, M., & Ferrer, C. C. (2020). The deepfake detection challenge dataset. arXiv preprint arXiv:2006.07397. [26] Dong, X., Bao, J., Chen, D., Zhang, W., Yu, N., Chen, D., ... & Guo, B. (...
DeepFakes Detection Challenge Preview (DFDC Preview) (Dolhansky et al.2019) dataset consisting of 5K videos with two facial modification algorithms. The actors are of different gender, skin-tone, age, etc. They record videos with arbitrary backgrounds thus bringing visual variability. ...
Facebook宣布了一项名为Deepfake Detection Challenge(DFDC)的挑战赛,壕掷1000万美元,悬赏能够最好地检测出利用Deepfake技术制造的假视频。 该项竞赛合作伙伴包括微软、康奈尔理工,麻省理工学院,牛津大学,加州大学伯克利分校,马里兰大学等,Facebook还将针对挑战赛发布一个新数据集。
They launched a competition entitled the ’Deepfakes Detection Challenge’ (DFDC), providing the award of up to $10 million to spur the research on deepfake detection [8]. This effort shows tremendous interest by the industry and accelerates the development of deepfake detection. The current ...
Frank J, Schönherr L (2021) WaveFake: a data set to facilitate audio deepfake detection. In: 35th annual conference on neural information processing systems Dolhansky B, Bitton J, Pflaum B, Lu J, Howes R, Wang M, Ferrer CC (2020) The DeepFake detection challenge dataset. arXiv preprin...
Facebook牵头创建的「Deepfake检测挑战赛」(Deepfake Detection Challenge,DFDC) 结果正式公布,百万美元大奖都花落谁家? 全球最大规模Deepfake检测挑战赛结果出炉,最高准确率达 82.56% 「我不是为了奖金,而是奔着数据来的。」 此次DFDC分享了超过100,000个视频的数据集。DFDC 由3,500多名演员和长达38.5天的数据组成...
To counter this emerging threat, we have constructed an extremely large face swap video dataset to enable the training of detection models, and organized the accompanying DeepFake Detection Challenge (DFDC) Kaggle competition. Importantly, all recorded subjects agreed to participate in and have their ...