ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Citations
21 citations
Cites background from "ArcFace: Additive Angular Margin Lo..."
...Other work explored variations of the loss function and related tasks such as face identification [22, 8, 48]....
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21 citations
21 citations
21 citations
Cites background or methods from "ArcFace: Additive Angular Margin Lo..."
...Following [10], the feature scale and angular margin m are set as 64 and 0....
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...Large margin loss (ArcFace and SphereFace) have achieved the SOTA results in large-scale datasets....
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...ArcFace is adopted in feature adaption network as the classification loss....
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...To preserve discriminatory in HR faces, We employ ArcFace [10] as classification loss LHRc , making the model of top stream directly supervised by HR faces....
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...Since the large-scale datasets already contain a lot of lowresolution images, only adopting ArcFace loss for supervision can get high performance in HR model....
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21 citations
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