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extra loss #25

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zhly0 opened this issue Jan 31, 2018 · 2 comments
Closed

extra loss #25

zhly0 opened this issue Jan 31, 2018 · 2 comments

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@zhly0
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zhly0 commented Jan 31, 2018

Thanks for your work,but the extra loss I do not know why you do this:
1 The extra loss is makes the l2 norm small,and you do this for hard sample mining?
2 In the code,the extra loss is used only when the loss is softmax or sphereface,why?The other loss can not use it?
@nttstar
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nttstar commented Jan 31, 2018

extra loss is used for joint training, not limited to feature incay.

@zhly0
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zhly0 commented Jan 31, 2018 •
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@nttstar thanks for reply!
what do you mean by joint training?you mean training different dataset using different fc?

@zhly0 zhly0 closed this as completed Feb 1, 2018
@FlyingAle FlyingAle mentioned this issue Jun 2, 2023
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@nttstar @zhly0