Towards efficient and effective face forgery detection
Rapid progress in Face Forgery algorithms is becoming an increasingly relevant threat in the modern-day. To address the issue, multiple state-of-the-art forgery detection algorithms have been proposed. However, these models made use of deep and complex Convolutional Neural Networks (CNN) as their ba...
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| Natura: | Final Year Project (FYP) |
| Lingua: | English |
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Nanyang Technological University
2022
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| Accesso online: | https://hdl.handle.net/10356/162785 |