A LoRA-enhanced vision transformer for generalized and robust continual face forgery detection
In this dissertation, we present an efficient training method for face forgery detection models by combining Low-rank adaptation (LoRA) with Vision Transformers (ViT). The approach facilitates continual learning across multiple face forgery datasets organized by their release dates, followed b...
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Format: | Thesis-Master by Coursework |
Language: | English |
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Nanyang Technological University
2025
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Online Access: | https://hdl.handle.net/10356/182478 |
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Institution: | Nanyang Technological University |
Language: | English |