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A simple yet effective loss function for face verification.

Results 6 AMSoftmax issues
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I train my model[Webface] in parms of s=30, m=0.35. The Result in lfw is 98.53%. I try to change parms but it get worse result. Is the parms is the...

Hi,thanks for your work. Did you ever try to put it together? I think put it together shouldn't make it worse. But , when I use it to train lenet(dataset:mnist)...

Hi, I found that the model trained with AMS may get higher similarity bettem a pair of abnormal enroll and probe images (the probe is low qulaity, wrong aligned, or...

Dear @happynear, first of all thanks for your work and uploaded results! I would like to ask about alignment step, is it really important to get good performance? I have...

I set an image to `AMSoftmax`, which `net` prototxt is (`face_deploy_mirror_normalize.prototxt`) and weight is (`your pretrained weights`) . after loading weights I put an image to net input and run...

Hi, thanks for your great job. I wonder how I can debug the value of margin and scale to get better result.I use the default setting(m=0.35, scale=30)on my face recognition...