Face-Feature Tuning is a label-free logit remapping method that reduces FPR/TPR gaps across groups in deepfake detection while preserving overall accuracy.
MagFace: A universal representation for face recognition and quality assessment,
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JPEG AI with optimized settings and preprocessing delivers the highest face recognition accuracy among tested codecs when compressing images to 1024 bytes.
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Optimizing Image Preparation and Compression for Face Recognition within 1024 Bytes
JPEG AI with optimized settings and preprocessing delivers the highest face recognition accuracy among tested codecs when compressing images to 1024 bytes.