Detecting Deepfake Videos with CNN and Image Partitioning
碩士 === 國立中興大學 === 資訊科學與工程學系所 === 107 === The AIgenerated images are gradually similar to the pictures taken. When the generated images are used in inappropriate cases, it will cause damage to people’s rights and benefits. These doubtful images will cause illegal problems. The issue of detecting dig...
Main Authors: | Ching-Tang Chang, 張景棠 |
---|---|
Other Authors: | Chia-Mu Yu |
Format: | Others |
Language: | en_US |
Published: |
2019
|
Online Access: | http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5394052%22.&searchmode=basic |
Similar Items
-
Facial Identity Embeddings for Deepfake Detection in Videos
by: Emir, Alkazhami
Published: (2020) -
High Performance DeepFake Video Detection on CNN-Based with Attention Target-Specific Regions and Manual Distillation Extraction
by: Van-Nhan Tran, et al.
Published: (2021-08-01) -
ICaps-Dfake: An Integrated Capsule-Based Model for Deepfake Image and Video Detection
by: Samar Samir Khalil, et al.
Published: (2021-04-01) -
Deepfake video detection: YOLO-Face convolution recurrent approach
by: Aya Ismail, et al.
Published: (2021-09-01) -
Cooperative edge deepfake detection
by: Hasanaj, Enis, et al.
Published: (2021)