… forgery detection via spatial-frequency domain combination … domain, an adaptive extraction
network and a light-weight … Thinking in frequency: face forgery detection by mining frequency-…

… more and more fake faces generated by deep learning models, … domain features, attention
mechanism to emphasize the … 到的特徵進一步用來學習權重 (weights),給特定區域較高的權重…

… Most of the previous deepfake detection algorithms focused on capturing subtle forgery …
face and the forged face, which provided the possibility of using lighting inconsistency to detect …

… Statistical model-based detector via texture weight map: … Face X-ray for more general face
forgery detection[C]//IEEE … Global texture enhancement for fake face detection in the wild[…

… take the form of actual loss like billing errors, fraud and bad debts, or from opportunity loss
like … of weight value W and the vector of deviation power θ. Update the matrix of weight value …

… ⁃ tor takes charge to discriminate between the fake and the … the recall rate of small faces.
Meanwhile,some researchers ob… This merging equals a weighted sum with learnable weights. …

… sample weights is less than the threshold. XGBoost fully supports the scikit-learn suite in
Python … In addition, in this paper, these domains are divided into search engines, auction sites, …

… Fraud detection Churn management … the process is reduced to simple competitive learning.
Thanks to the competitive learning mechanism and weight updating in the neighborhood of …