Design and Implement Deepfake Video Detection Using VGG-16 and Long Short-Term Memory
This study aims to design and implement deepfake video detection using VGG-16 in combination with long short-term memory (LSTM). In contrast to other studies, this study compares VGG-16, VGG-19, and the newest model, ResNet-101, including LSTM. All the models were tested using Celeb-DF video dataset...
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| Main Authors: | Laor Boongasame, Jindaphon Boonpluk, Sunisa Soponmanee, Jirapond Muangprathub, Karanrat Thammarak |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2024/8729440 |
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