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Published 20 hours ago • verified publisher icon z-hXu

Different shortcut design between cifar and imagenet in ResNet?

Open kriskrisliu opened this issue 2 years ago • 0 comments

For ResNet in cifar experiment <ReCU/cifar/models_cifar/resnet2.py>, the shortcut/downsampling is binarized to [-1,+1] via BinarizeConv2d. However in ImageNet experiment <ReCU/imagenet/models_imagenet/resnet.py>, the shortcut/downsampling remains the fullprecision approach via nn.Conv2d. Is this the mistake in code or some other reason? Does binarizaition of shortcut lead to worse degradation?

kriskrisliu avatar May 31 '22 02:05 kriskrisliu