d-li14 / mobilenetv3.pytorch

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Home Page:https://arxiv.org/abs/1905.02244

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

you model is wrong。

afterimagex opened this issue · comments

the first inverted residual block is not using deepthwise separable convolution(groups=16)

image

@afterimagex do you mean that line should be :
Conv2d(16, 16, kernel_size=(3,3), stride=(1,1), padding=(1,1), groups=1, bias=False)

@afterimagex I think you are right, the code of InvertedResidual in this implementation is wrong. @d-li14