resnet-imagenet-caffe
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train resnet on imagenet from scratch with caffe
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resnet-imagenet-caffe issues
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The feature before the last GAP should be 7x7, but the feature in current model is 28x28. https://github.com/HolmesShuan/ResNet-18-Caffemodel-on-ImageNet/blob/master/deploy.prototxt shows a correct resnet18 structure.
So I notice that all your batchnorm layers are frozen with `lr_mult=0`. I'm not very familiar with the detailed tricks of caffe's `batchnorm` layer. Why did you freeze the batchnorm...
I don't think resnet18 has layers like res2a_branch2c, that's in resnet50.