AIFIND stabilizes incremental face forgery detection by aligning volatile features to invariant semantic anchors from low-level artifacts using attention and harmonization modules.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection
AIFIND stabilizes incremental face forgery detection by aligning volatile features to invariant semantic anchors from low-level artifacts using attention and harmonization modules.