Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
LAA-Net is a deepfake detection framework that uses a Localized Artifact Attention Network with explicit attention mechanisms and an Enhanced Feature Pyramid Network to focus on small artifact-prone regions. It achieves high accuracy across multiple benchmarks including FF++, CDF, DFW, DFD, and DFDC datasets.
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