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verified publisher icon Minerva-J
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Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, Dse...

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About dice_loss

Hi Minerva-J! My outputs.shape = [2, 3, 224, 224], targets_x.shape=[2, 224, 224], I want to use dice_loss as the loss function, it requires the input parameter shape to be [B,...

PatrickWilliams44 avatar PatrickWilliams44

How to test the model results and accuracy?

12 comment

Dear Minerva-J: Very nice work for DRIVE datatset segmentation. could you please share the test.py and give the accuracy metrics calcualtion method? thanks!

GinkgoX avatar GinkgoX

Att-Unet

如何加unet➕att

lcj-learn avatar lcj-learn

UNet_AutoEncoder

2 comment

你好，请问 UNet_AutoEncoder网络结构，有参考文献吗？

123liluky avatar 123liluky

x

1 comment

ymmm-4 avatar ymmm-4

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verified publisher icon Minerva-J

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Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, Dse...

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