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%.
A survey on the detection and impacts of deepfakes in visual, audio, and tex- tual formats
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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%.