SphereFace: Deep Hypersphere Embedding for Face Recognition

CVPR 2017 Weiyang LiuYandong WenZhiding YuMing LiBhiksha RajLe Song

This paper addresses deep face recognition (FR) problem under open-set protocol, where ideal face features are expected to have smaller maximal intra-class distance than minimal inter-class distance under a suitably chosen metric space. However, few existing algorithms can effectively achieve this criterion... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Compare
Face Verification Labeled Faces in the Wild SphereFace Accuracy 99.42% # 6
Face Verification MegaFace SphereFace (single model) Accuracy 85.561% # 5
Face Verification MegaFace SphereFace (3-patch ensemble) Accuracy 89.142% # 3
Face Identification MegaFace SphereFace (single model) Accuracy 72.729% # 5
Face Identification MegaFace SphereFace (3-patch ensemble) Accuracy 75.766% # 3
Face Verification YouTube Faces DB SphereFace Accuracy 95.0% # 8