Deepfake Video Detection Model Based on Consistency of Spatial–Temporal Features

您当前的位置：

首页 >

文章列表页 >

Deepfake Video Detection Model Based on Consistency of Spatial–Temporal Features

CYBERSPACE SECURITY | 更新时间：2024-01-08

|

- Deepfake Video Detection Model Based on Consistency of Spatial–Temporal Features
- Advanced Engineering Sciences Vol. 52, Issue 4, Pages: 243-250(2020)
- 作者机构：
  
  1.武汉大学空天信息安全与可信计算教育部重点实验室，湖北武汉 430000
  2.武汉大学国家网络安全学院，湖北武汉 430000
- 作者简介：
- 基金信息：
- DOI：10.15961/j.jsuese.201900902
  CLC： TP309
- Published：2020-7，
  
  Published Online：11 July 2020，
  
  Received：17 September 2019，
扫描看全文
赵磊,葛万峰,毛钰竹,等.基于时空特征一致性的Deepfake视频检测模型[J].工程科学与技术,2020,52(4):243–250.

Zhao Lei,Ge Wanfeng,Mao Yuzhu,et al.Deepfake video detection model based on consistency of spatial–temporal features[J].Advanced Engineering Sciences,2020,52(4):243–250
赵磊,葛万峰,毛钰竹,等.基于时空特征一致性的Deepfake视频检测模型[J].工程科学与技术,2020,52(4):243–250. DOI： 10.15961/j.jsuese.201900902.

Zhao Lei,Ge Wanfeng,Mao Yuzhu,et al.Deepfake video detection model based on consistency of spatial–temporal features[J].Advanced Engineering Sciences,2020,52(4):243–250 DOI： 10.15961/j.jsuese.201900902.

0

Views

1230

下载量

9

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

Related Articles

No data

Related Author

No data

Related Institution

No data

⁰