An active data-selection strategy based on negative energy scores reduces deepfake detector EER to 2.5% using 15% of a labeled pool during continuous training.
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Exploring Active Data Selection Strategies for Continuous Training in Deepfake Detection
An active data-selection strategy based on negative energy scores reduces deepfake detector EER to 2.5% using 15% of a labeled pool during continuous training.