No matter small or big lip motion: DeepFake detection with regularized feature learning on semantic information
The use of DeepFake technologies to create hyper-realistic faces has sparked serious security concerns. Recent advances on DeepFake detection showed promise on algorithm generalization to unseen manipulation methods by identifying high-level semantic irregularities. However, the extracted features a...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/178711 |