#计算机科学#PyTorch implementation of the U-Net for image semantic segmentation with high quality images
翻译 - U-Net的PyTorch实现，用于高质量图像的图像语义分割
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
这是一个unet-pytorch的源码，可以训练自己的模型
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
PyTorch implementation of UNet++ (Nested U-Net).
Tunable U-Net implementation in PyTorch
U-Net implementation for PyTorch based on https://arxiv.org/abs/1505.04597
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Portrait Mating implementation in UNet with PyTorch.
Implementation of Deep Complex UNet Using PyTorch
2D and 3D UNet implementation in PyTorch.
PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)
The implementation of 3D-UNet using PyTorch
A Pytorch implementation of Stylegan2 with UNet Discriminator
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
Implementation of Uformer, Attention-based Unet, in Pytorch
3D Segmentation Pytorch version(unet basic model)
Pytorch implementation of UNet++ semantic segmentation
Unet for semantic segmentation implemented with pytorch
Segmenting people on photos using IOS devices [Pytorch; Unet]
使用PyTorch实现Unet图像分割
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder