ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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12 citations
Additional excerpts
...In [37], an additive angular margin loss was proposed, in order to obtain highly-discriminative features for face recognition....
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12 citations
Cites background from "ArcFace: Additive Angular Margin Lo..."
...INTRODUCTION Benefiting from the rapid development of deep learning and the easy access to a large number of annotated face images, face recognition [1]–[4] has advanced significantly in recent years....
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12 citations
12 citations
12 citations
Cites background or methods from "ArcFace: Additive Angular Margin Lo..."
...First, the speaker and the face embeddings are extracted by x-vector and InsightFace models, respectively [27,28]....
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...We consider x-vector and InsightFace based systems for extracting the speaker and face embeddings, respectively [27, 28]....
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...We then use InsightFace to obtain highly discriminative features for face recognition by using the additive angular margin loss [28]....
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...Similarly, the InsightFace system extracts the face embeddings for given faces of the target speakers from the enrollment videos and all detected faces from the test videos [28]....
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References
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