semantic-pyramid-pytorch
semantic-pyramid-pytorch copied to clipboard
Implementation of Semantic Pyramid for Image Generation (https://arxiv.org/abs/2003.06221) in PyTorch
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.  https://github.com/rosinality/semantic-pyramid-pytorch/blob/6d4796cbb2abdbe9afaafb8dae75b60a3b619d2d/train.py#L146
Could you please provide the pre-trained models?