Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
翻译 - 具有预训练骨干的细分模型。 PyTorch。
#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
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
翻译 - 具有预训练骨干的细分模型。 Keras和TensorFlow Keras。
[IEEE TMI] Official Implementation for UNet++
翻译 - IEEE影像医学和DLMIA 2018交易中UNet ++的官方Keras实现
3D U-Net model for volumetric semantic segmentation written in pytorch
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
#计算机科学#A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
#计算机科学#Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
PyTorch implementation of UNet++ (Nested U-Net).
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
This is a code repository for pytorch c++ (or libtorch) tutorial.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
