ArcFace is a deep learning-based method for face recognition that enhances the discriminative power of facial features by optimizing the angular distance between features in a hypersphere. This approach leverages a special loss function to minimize the angular distance between the feature representations of the same identity while maximizing it for different identities, thus improving accuracy in biometric applications. Its unique structure allows ArcFace to achieve higher performance in face recognition tasks compared to traditional methods.
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