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你好,看了您的文章我对您将Lite-FPN与GUPNet的结合这部分存在一些困惑,我看过GUPNet的源码,他ROIAlign得到的是[K, D, 7, 7]的特征图,您在论文里提到将ROIAlign也用到多尺度上也得到K × 3D的特征,所以您是将ROIAlign的参数由(7,7)变为(1,1)还是有其他操作?可以分享一下你们与GUPNet相结合部分的代码吗?
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请参考如下核心代码:
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你们是将GUPNet对齐为(7,7)改成了(3,3),然后关键点特征也用ROIAlign,那就是把原来的(7,7)变成了(3,3)×6,这样计算量和参数量不应该都变大了吗,为什么速度会更快?是不是我哪里理解错了,您能帮我解答一下吗,非常感谢!
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你好,看了您的文章我对您将Lite-FPN与GUPNet的结合这部分存在一些困惑,我看过GUPNet的源码,他ROIAlign得到的是[K, D, 7, 7]的特征图,您在论文里提到将ROIAlign也用到多尺度上也得到K × 3D的特征,所以您是将ROIAlign的参数由(7,7)变为(1,1)还是有其他操作?可以分享一下你们与GUPNet相结合部分的代码吗?
The text was updated successfully, but these errors were encountered: