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Implementation of Semantic Pyramid for Image Generation (https://arxiv.org/abs/2003.06221) in PyTorch

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In the pre-trained classifier, why the output layer is not the softmax classifier for classifying 365 labels? Also, are the classifier layers also pre-trained in VGG classifier?

I think your reconstruction loss is missing mask, which should be applied after subtracting two features as in (3) of the paper. ![image](https://user-images.githubusercontent.com/36615789/83992749-48326800-a98c-11ea-9fe9-140ed1c96e61.png) https://github.com/rosinality/semantic-pyramid-pytorch/blob/6d4796cbb2abdbe9afaafb8dae75b60a3b619d2d/train.py#L146

Could you please provide the pre-trained models?