3260 papers • 126 benchmarks • 313 datasets
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A system that directly learns a mapping from face images to a compact Euclidean space where distances directly correspond to a measure offace similarity, and achieves state-of-the-art face recognition performance using only 128-bytes perface.
Adding a benchmark result helps the community track progress.