The paper introduces semantic mismatch between authentic audio and video as a new DeepFake detection challenge via the RARV-SMM class and demonstrates that a semantic reinforcement strategy with ImageBind embeddings improves detection on FakeAVCeleb and LAV-DF.
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
-
Are DeepFakes Realistic Enough? Exploring Semantic Mismatch as a Novel Challenge
The paper introduces semantic mismatch between authentic audio and video as a new DeepFake detection challenge via the RARV-SMM class and demonstrates that a semantic reinforcement strategy with ImageBind embeddings improves detection on FakeAVCeleb and LAV-DF.