Comments (6)
ShengcaiLiao
commented on June 14, 2024
论文里的h和w是指feature map大小，不是图像大小。
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pansanity666
commented on June 14, 2024
论文里的h和w是指feature map大小，不是图像大小。
感谢回答～
我明白是feature map大小，按照您论文表达的意思，output channel的维度是query feature map里[s,s]卷积核的数量吧？我的理解，当s=1的时候是h*w,但是s>1的时候就不是了吧
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ShengcaiLiao
commented on June 14, 2024
s>1的时候output channel是不变的。跟正常卷积一样，输出的特征维度跟卷积核的大小无关。
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jingyut
commented on June 14, 2024
作者您好，看了回答有点疑惑，输出的channel数不是等于卷积核的数量吗？难道s变化不会影响卷积核的数量吗？
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ShengcaiLiao
commented on June 14, 2024
s变化不会影响卷积核的数量，feature map上的每个像素点邻域都会形成一个s*s大小的卷积核。当然，边界需要pad。
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jingyut
commented on June 14, 2024
谢谢，明白了！
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