文章地址: The DeepFake Detection Challenge (DFDC) Datasetarxiv.org/abs/2006.07397 下载链接: Deepfake Detection Challenge | Kagglewww.kaggle.com/c/deepfake-detection-challenge/data 2.Celeb-DF/Celeb-DF v2 该数据集是目前被广泛使用的数据集,v2版本是v1版本的扩充。v1版本包含408个从YouTube采集...
We discuss approaches to ensure the quality and diversity of the dataset. Besides, we describe the observations we obtained from organizing DeeperForensics Challenge 2020, a real-world face forgery detection competition based on DeeperForensics-1.0. Specifically, we summarize the winning solutions and ...
[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. (2...
2.1 Multimodal deepfake dataset 为推动检测技术的发展,建立了几个深度伪造数据集。早期的数据集主要关注视觉模态生成,要么利用真实音频,要么完全排除音频,如FaceForensics++ (FF++) [18]、CelebDF [19]、DFDC (Deepfake Detection Challenge) [13]和KoDF (Korean Deepfake Detection Dataset) [20]。随着音频生成技术...
4)DFDC: FaceBook DeepFake detection challenge dataset 研究结论 实验结果表明,文章所提供的数据集给现有的检测方法带来了不小的挑战,不仅说明该数据集在一定程度上具有较高的篡改质量,同时也说明,现有的DeepFake检测方法仍然具有很大的提升空间。 更多信息...
DeepFake Detection (DFD) challenge It is a large-scale dataset of manipulated videos and images created for the DeepFake Detection Challenge (DFDC) hosted by Facebook in 2020 (Dang et al. 2020). Wild-Deepfake Wild-Deepfake is a deepfake detection dataset created in 2020. Wild-Deepfake is wide...
在Facefances++数据集上对FaceSwap (FS) , Face2Face (F2F) , DeepFakes (DF) and NeuralTextures (NT)四类虚假视频生成对抗样本,评估单帧视频检测器攻击效果。在DeepFake Detection Challenge (DFDC) Dataset上评估对于序列检测器的攻击效果。 在Facefances++上由于视频数量过多,选择70个视频来生成视频。
In this paper, we introduce a preview of the Deepfakes Detection Challenge (DFDC) dataset consisting of 5K videos featuring two facial modification algorithms. A data collection campaign has been carried out where participating actors have entered into an agreement to the use and manipulation of the...
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. (2020). Identity-Driven DeepFake Detection. arXiv preprint arXiv:2012.03930. [27] Zi, B., Chang, M., ...
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 ...