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关于SMG模块的问题

你好!作者的工作很棒!有个问题想请教下,
x_shortcut_weight = self.global_pool(x_shortcut * forget_context_weight) * H * W
全局池化后维度应该是1X1XC,这里为啥要乘以H*W?

Why test accuracy reaches high as 90% while the train accuracy is about 50%?

Hello, thanks for sharing your work. When I run your code on my machine with cifar10 dataset, I notice that the test accuracy is already as high as 90%, while the train accuracy is still around 50%. In my experience, training accuracy is always higher than the test accuracy, so I have a question "Why test accuracy reaches high as 90% while the train accuracy is about 50%?" Thanks again for sharing your excellent work!

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