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另外,他基于s3fd,控制低层负样本,找最大的负样本和正样本训练时怎么实现的啊,就是max-in-out这个?谢谢
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head、body是根据face衍生出来的,论文中叫PyramidAnchors。 我的理解是,低层时负样本(高层时正样本)情况复杂,因此max-in-out留给负样本3个通道(论文中实验得出)将其细分,选择其中最接近正样本的与正样本进行分类,提高分类能力。 @zhangtao22
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maxout那个我实现了,只是没训出来。head,body是咋衍生出来的啊?
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另外,他基于s3fd,控制低层负样本,找最大的负样本和正样本训练时怎么实现的啊,就是max-in-out这个?谢谢
The text was updated successfully, but these errors were encountered: