Unsupervised face recognition
2 papers with code • 2 benchmarks • 1 datasets
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Most implemented papers
Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem
This is the first work that we are aware of to explore how the level of brightness of the skin region in a pair of face images (rather than a single image) impacts face recognition accuracy, and to evaluate this as a systematic factor causing unequal accuracy across demographics.
Unsupervised Face Recognition using Unlabeled Synthetic Data
In this paper, we propose an unsupervised face recognition model based on unlabeled synthetic data (USynthFace).