6364 Open source projects that are alternatives of or similar to Unet

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Tunable U-Net implementation in PyTorch

Dstl Satellite Imagery Feature Detection

Lung fields segmentation on CXR images using convolutional neural networks.

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

Develop production ready deep learning code, deploy it and scale it

Brainy is a virtual MRI analyzer. Just upload the MRI scan file and get 3 different classes of tumors detected and segmented. In Beta.

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Tensorflow implementation : U-net and FCN with global convolution

Paper and implementation of UNet-related model.

3D Unet biomedical segmentation model powered by tensorpack with fast io speed

Open solution to the Data Science Bowl 2018

3D U-Net model for volumetric semantic segmentation written in pytorch

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

项目注释+论文复现+算法竞赛

코딩셰프의 3분 딥러닝, 케라스맛

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Urban building extraction in Daejeon region using Modified Residual U-Net (Modified ResUnet) and applying post-processing.

Kaggle airbus ship detection challenge 21st solution

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

Patch-based 3D U-Net for brain tumor segmentation

《深度学习与计算机视觉》配套代码

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

3D Unet Equipped with Advanced Deep Learning Methods

A concise code for training and evaluating Unet using tensorflow+keras

keras implementation of unet plus plus

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

FSGAN - Official PyTorch Implementation

PyTorch Connectomics: segmentation toolbox for EM connectomics

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Kaggle Data Science Bowl 2018

Evaluation framework for testing segmentation networks in Keras

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

hair segmentation in mobile device

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Kaggle Segmentation Challenge

A PyTorch implementation of PointRend: Image Segmentation as Rendering

a generalist algorithm for cellular segmentation

A tool for running deep learning algorithms for semantic segmentation with satellite imagery

An awesome semantic segmentation model that runs in real time

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

PyTorch Implementation for Segmentation and Saliency Prediction

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

No description or website provided.

Segmentation models with pretrained backbones. PyTorch.

BCDU-Net : Medical Image Segmentation