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accuracy on casia training dataset

Open auroua opened this issue 8 years ago • 4 comments

I am using the sphereface code implemented by pytorch in the third-party re-implementation lists. After 20 epochs, I only get 93.3490% accuracy on training dataset. Does this correct? This model get 98.85% accuracy on lfw.

auroua avatar Dec 05 '17 12:12 auroua

I have the same question.

@auroua is your 93.3490% on withheld validation data from CASIA?

jjennings955 avatar Dec 13 '17 04:12 jjennings955

@jjennings955 not on validate dataset. It's on training dataset.

auroua avatar Dec 14 '17 09:12 auroua

I am not sure about the pytorch version, but my guess is that when you compute the accuracy, it uses the difficult decision rule (because m=4 makes the classification more difficult). You will need to use m=1 to compute the accuracy.

wy1iu avatar Dec 26 '17 18:12 wy1iu

@wy1iu Thanks

auroua avatar Dec 27 '17 03:12 auroua