Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset
and Multimodal Method for Temporal Forgery Localization

Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization

13 April 2022

Zhixi Cai

Abhinav Dhall

Papers citing "Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization"

6 / 6 papers shown

Title
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection Junke Wang Zuxuan Wu Wenhao Ouyang Xintong Han Jingjing Chen Ser-Nam Lim Yu-Gang Jiang ViT 100 254 0 20 Apr 2021
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection Bojia Zi Minghao Chang Jingjing Chen Xingjun Ma Yu-Gang Jiang CVBM 80 365 0 05 Jan 2021
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics Yuezun Li Xin Yang Pu Sun H. Qi Siwei Lyu 132 1,018 0 27 Sep 2019
VoxCeleb2: Deep Speaker Recognition Joon Son Chung Arsha Nagrani Andrew Zisserman 214 2,224 0 14 Jun 2018
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis Ye Jia Yu Zhang Ron J. Weiss Quan Wang Jonathan Shen ... Z. Chen Patrick Nguyen Ruoming Pang Ignacio López Moreno Yonghui Wu 201 817 0 12 Jun 2018
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation Tianwei Lin Xu Zhao Haisheng Su Chongjing Wang Ming Yang 135 691 0 08 Jun 2018