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请问：用pretrained的模型，为什么验证的精度很高99%，而训练的ms1m的精度只有0.02 #58

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happymonkey1982 opened this issue Feb 4, 2020 · 2 comments
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请问：用pretrained的模型，为什么验证的精度很高99%，而训练的ms1m的精度只有0.02 #58

happymonkey1982 opened this issue Feb 4, 2020 · 2 comments

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@happymonkey1982
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@happymonkey1982
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作者你好，谢谢你开源这个项目。我目前遇到一个问题：用pretrained的模型，为什么验证的精度很高99%，而训练的ms1m的精度只有0.02

@wensi2690
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不仅仅是这个项目中的模型，在很多其他的arcface模型也存在这个问题，acc一致都处于一个极低的值，也就是说模型的分类能力其实很差？但为什么在lfw.bin这些验证数据集中的准确率却很高呢？

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@happymonkey1982 @wensi2690