GitHub - Jiankun-chen/building-semantic-segmentation-of-InSAR-images: We apply some state-of-the-art semantic segmentation methods to InSAR image building segmentation, directly. They are Unet, SegNet, RefineNet, PSPNet, and Deeplab v3+. These segmentation patterns are regarded as the comparative results with CVCMFFNet, which links to https://github.com/Jiankun-chen/CVCMFFNet-master

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We apply some state-of-the-art semantic segmentation methods to InSAR image building segmentation, directly. They are Unet, SegNet, RefineNet, PSPNet, and Deeplab v3+. These segmentation patterns are regarded as the comparative results with CVCMFFNet, which links to https://github.com/Jiankun-chen/CVCMFFNet-master

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Segnet-master-sar3		Segnet-master-sar3
Unet-master-sar3		Unet-master-sar3
deeplabv3p-master-sar3		deeplabv3p-master-sar3
pspnet-keras-master-sar3		pspnet-keras-master-sar3
refinenet_pytorch-master-sar3		refinenet_pytorch-master-sar3