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%.
Towards Uni- versal Fake Image Detectors that Generalize Across Gen- erative Models
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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%.