582 Open source projects that are alternatives of or similar to Segan

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

This is the example implementation of UNet model for semantic segmentations

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Kidney Tumor Segmentation Challenge 2019

Reimplementing cool papers in PyTorch...

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

A framework for developing neural network models for 3D image processing.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

JavaScript library to display interactive medical images including but not limited to DICOM

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Deep Learning sample programs using PyTorch in C++

Official public repository of Gate

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

The OHIF Medical Imaging Viewer is for viewing medical images. It can retrieve and load images from most sources and formats; render sets in 2D, 3D, and reconstructed representations; allows for the manipulation, annotation, and serialization of observations; supports internationalization, OpenID Connect, offline use, hotkeys, and many more features.

An Unsupervised Learning Framework for Moving Object Detection From Videos

C++ based toolbox for the SUNCG dataset

Awesome GAN for Medical Imaging

MNE-CPP: A Framework for Electrophysiology

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Collection of computer vision models, ready to be included in a JVM project

COVID deterioration prediction based on chest X-ray radiographs via MoCo-trained image representations

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

lightweight and efficient cnn for semantic segmentation, my blog address:

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

PyTorch for Semantic Segmentation

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

SegSort: Segmentation by Discriminative Sorting of Segments

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

embedding and grouping pixels into boundary, proposal, segment and object instance.

train test labels for sunrgbd

PyTorch library for adversarial attack and training

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

DLTK Model Zoo

Tensorflow implementation : U-net and FCN with global convolution

A simpler way of reading and augmenting image segmentation data into TensorFlow

OSS Implementation of DICOMweb standard

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

A Pytorch implementation for the ZeroSpeech 2019 challenge.

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation