Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
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Updated
Nov 7, 2024 - Python
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
3D U-Net model for volumetric semantic segmentation written in pytorch
Pytorch implementation of ResUnet and ResUnet ++
Open solution to the Mapping Challenge 🌎
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Official repo for Medical Image Segmentation Review: The Success of U-Net
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Brain Tumor Segmentation done using U-Net Architecture.
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
Open solution to the Data Science Bowl 2018
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.
Liver Lesion Segmentation with 2D Unets
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
Automatic information extraction from identity card with ocr
This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework.
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
Multiclass semantic segmentation using U-Net architecture combined with strong image augmentation
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