A two-tier ensemble that averages three instances of Xception, Res2Net101, and EfficientNet-B7 and learns a softmax-weighted fusion reports near-perfect intra-dataset scores, but its headline cross-dataset AUC of 88.20% is mathematically inconsistent with its own method.
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AWARE-NET: Adaptive Weighted Averaging for Robust Ensemble Network in Deepfake Detection
A two-tier ensemble that averages three instances of Xception, Res2Net101, and EfficientNet-B7 and learns a softmax-weighted fusion reports near-perfect intra-dataset scores, but its headline cross-dataset AUC of 88.20% is mathematically inconsistent with its own method.