2024
Adapter-Based Incremental Learning for Face Forgery Detection
ICASSP 2024accepted
Many existing face forgery detection methods primarily revolve around learning general representations on predefined datasets and subsequently crossing these static representations to other datasets. However, these approaches could lead to catastrophic forgetting in real-world scenarios, especially…