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Discriminator' Problem #10
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Hi @gong-lei The main reason is the experience in my previous work of CVPR19 (https://github.com/layumi/DGNet). Besides, the non-local operation is hard to tune. I also have tried it but the performance is not good. |
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Thank you for sharing this wonderful code first!
And I have a small question in discriminator.I find the adversarial loss of AdaptSegNet is very unstable because of the global alignment in the segmentation output.I add non-local attention in the discriminator,but the performance drops dramatically.Then your discriminator,you say 'we follow the PatchGAN and deploy the multi-scale discrimimator model'.So for what consideration you utilize this strategy,and do you do an experiment to see how much performance improvement does this approach bring?
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