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为什么EfficientNetB7的depth_coefficient设置为3.1？ #776

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T990820 opened this issue Nov 21, 2023 · 0 comments

T990820 commented Nov 21, 2023

对EfficientNetB0到EfficientNetB7参数的详细定义在EfficientNet网络详解中。根据EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks中的公式3，可以得知在EfficientNetB7中，

r=γ^Φ=1.15^Φ=600/224=2.6786

Φ=log(2.6786)/log(1.15)=7.04

进而可以推出

depth_coefficient=d=α^Φ=1.2^7.04=3.6094≠3.1

我阅读了若干个关于EfficientNet的仓库的实现代码，发现几乎所有的实现代码都对EfficientNetB7中的depth_coefficient设置为3.1，所以我不确定上述推导过程是否正确。如果错误，正确的推导过程是什么呢？

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