CorrDetail achieves state-of-the-art face forgery detection by training a vision-language model to self-correct error-laden visual questions and combining it with a dedicated visual branch.
Moe-ffd: Mixture of experts for general- ized and parameter-efficient face forgery detection
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
CorrDetail: Visual Detail Enhanced Self-Correction for Face Forgery Detection
CorrDetail achieves state-of-the-art face forgery detection by training a vision-language model to self-correct error-laden visual questions and combining it with a dedicated visual branch.