Closed udkii closed 2 years ago
baseWidth is a multiplier to make sure the parameters of Res2Net is similar to ResNet.
I also had the same problem
baseWidth is a multiplier to make sure the parameters of Res2Net is similar to ResNet. 您好,我想问一下 /64 再plane 的作用是什么? 为什么不直接 用 26scale? 这只是为了方便与resnet参数量的方法。只要是能对齐参数量,您说的这种也都可以。
Hello. I have a question about Res2Net.
I don't understand what is the 'baseWidth'. When we make Cottle2neck class and Res2Neet class, I can see baseWidth=26 at definit. And baseWidth is described as basic width of conv3*3.
What does basic width of convolution mean? Isn't the size of a 33 convolution layer 33?
I wonder where 26 comes from. Looking at the size of bn1.bias of Res2Net, torch.Size([104]) is output. This 104 is the value of baseWidth(26)*scale(4). What the heck is this baseWidth?
There seems to be no size 104 in the bottleneck of ResNet50. I need some advices. Can anybody help me?
Thank you.