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蒸馏带fpn的faster rcnn遇到问题 #18

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UcanSee opened this issue Mar 23, 2020 · 0 comments
Open

蒸馏带fpn的faster rcnn遇到问题 #18

UcanSee opened this issue Mar 23, 2020 · 0 comments

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@UcanSee
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UcanSee commented Mar 23, 2020

论文中没有说明multi layer的mimic是怎样进行的，所以我按照rpn分配正样本的规则分配gt到不同的level，即如果一个gt在某个level有正样本，那么该gt就参与生成该level的imitation region，但是实验之后我发现效果很差，蒸馏后的性能比student的baseline还低。请问论文中在进行带fpn的蒸馏实验时是如何分配gt的呢？还是有哪些细节我没有关注到？求解答
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