Regarding ResNet structure, in http://www.pabloruizruiz10.com/resources/CNNs/ResNet-PyTorch.html 4
It is mentioned:

For instance, ResNet on the paper is mainly explained for ImageNet dataset… since CIFAR10 input images are (32x32) instead of (224x224), the structure of the ResNets need to be modified.

while I saw some Pytorch codes on GitHub for Resnet with CIFAR10, that are used the same structure as ResNet for ImageNet, I mean four-layers by “Conv64, Conv128, Conv256, Conv512”. Would you please guide me for Resnet CIFAR10, the structure of ResNet needs to be modified or not?