A guided-based approach for deepfake detection: RGB-depth integration via features fusion

Giorgio Leporoni, Luca Maiano, Lorenzo Papa, Irene Amerini

Abstract: Highlights•Integrating depth and RGB improves the accuracy and robustness of deepfake detectors.•Late fusion is the best fusion strategy for integrating RGB and depth features.•We guide the integration of depth information via a self-attention mechanism.•Depth integration makes the model more robust to some opposing attacks.