Finetuned CLIP-pretrained ConvNeXt-base and ViT-b32 classifiers reach 81% accuracy on Deepfake-Eval-2024, within noise of the leading commercial detector's 82%.
Socialdf: Benchmark dataset and detection model for mitigating harmful deepfake content on social media platforms, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
support 1representative citing papers
citing papers explorer
-
Revisiting Simple Baselines for In-The-Wild Deepfake Detection
Finetuned CLIP-pretrained ConvNeXt-base and ViT-b32 classifiers reach 81% accuracy on Deepfake-Eval-2024, within noise of the leading commercial detector's 82%.