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melgor avatar melgor commented on May 18, 2024 7

As I analyse the code, I will answer your questions:

  1. This idea was not mentioned is SphereFace (unfortunately). But it is explained at Large-Margin Softmax. The idea behind it is to at the begging use pure SoftMax and at every iteration increase the weight from A-Softmax and lower weight of SoftMax till the weight of SoftMax will be 0 and there will be pure A-Softmax

  2. Your guess is right. I think that this implementation look like that because of speed. For the much cleaner version of Large-Margin Softmax (which is old version of A-SoftMax and main difference is normalized weights) is here. There are function where you just input as argument 'margin' and it calculate values depended on that. No hard-coded values etc. Also much cleaner because look like pure numpy code. Bu its is also much slower (even 10x)

from sphereface.

wy1iu avatar wy1iu commented on May 18, 2024

Thanks @melgor for answering the questions. :)

from sphereface.

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