accuracy on casia training dataset
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.
I have the same question.
@auroua is your 93.3490% on withheld validation data from CASIA?
@jjennings955 not on validate dataset. It's on training dataset.
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 Thanks