ArcFace: Additive Angular Margin Loss for Deep Face Recognition
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Cites methods from "ArcFace: Additive Angular Margin Lo..."
...To be specific, CACD [8], IMDB [40], UTKFace [60], AgeDB [35], AFAD [38], AAF [9], FG-NET 3, RFW [52], IMFDB-CVIT [42], AsianDeepGlint [1], and PCSO [11] are the datasets for training and testing models of demographic estimations; and the datasets for learning and evaluating models of face verification are MS-Celeb-1M [17], LFW [24], IJB-A [28], and IJB-C [34]....
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...EFeat is trained on MS-Celeb-1M by SGD with a learning rate of 0.01....
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...We keep the hyper-parameter setting of AM-Softmax as [12]: s = 64 and m = 0....
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...Since there is no demographic labels in MS-Celeb-1M, we first train three demographic estimation models for gender, age, and race, respectively....
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...We predict the demographic labels of MS-Celeb-1M with the well-trained demographic models....
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