ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Citations
13 citations
13 citations
Cites methods from "ArcFace: Additive Angular Margin Lo..."
...While the solution presented in the results section concentrates solely on the Euclidean distance, thus retrieving the classical K-means algorithm, one may extend the algorithm based on non-Euclidean distances [10] and other margin based losses [24,44,9] can be used....
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13 citations
13 citations
13 citations
Cites background or methods from "ArcFace: Additive Angular Margin Lo..."
...Following the work of [34] the value of m was set to 0....
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...Inspired by the reported better discriminatory ability and the success of angular margin based loss functions in facial recognition tasks [34], [32], [33], we add binary angular margin loss to both parts of equation 15 using equation 13....
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...However, as mentioned in [32], [33], [34], this loss function does not optimize properly to enforce higher intra-class similarity and inter-class dissimilarity....
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...As per authors of [34], if we introduce a hyper-parameter m then 6 becomes:...
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...From the literature [33], [32], [34] it’s very obvious that the discriminatory power of angular margin loss over its vanilla counterpart gives A-BCE an edge ....
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References
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