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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Bibliographic Details
Main Author: Wu, Yulong
Other Authors: Alex Chichung Kot
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2025
Subjects:
Online Access:https://hdl.handle.net/10356/182478
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Institution: Nanyang Technological University
Language: English