HIGHLIGHTS
- who: Sung-Hyun Yang and colleagues from the Department of Electronic Engineering, Kwangwoon University, Kwangwoon-ro, Nowon-gu, Seoul, Republic of Korea have published the research: Detection of Image Level Forgery with Various Constraints Using DFDC Full and Sample Datasets, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of /2022/
- what: The authors propose a method to detect these deepfake images a light weighted convolutional neural network (CNN). The research is conducted with Deep Fake Detection Challenge (DFDC) and where the authors compare the performance of the proposed model with various state-of . . .
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