630 Open source projects that are alternatives of or similar to multiclass-semantic-segmentation

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

Pytorch implementation of UNet for converting aerial satellite images into google maps kinda images.

Collection of different Unet Variant suchas VggUnet, ResUnet, DenseUnet, Unet. AttUnet, MobileNetUnet, NestedUNet, R2AttUNet, R2UNet, SEUnet, scSEUnet, Unet_Xception_ResNetBlock

PSPNet in Chainer

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

2D and 3D UNet implementation in PyTorch.

Cell Detection with PyTorch.

Segmentation models with pretrained backbones. PyTorch.

This repository contains the source code of our work on designing efficient CNNs for computer vision

Code for https://arxiv.org/abs/1611.10080

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Fully Convolutional HarDNet for Segmentation in Pytorch

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

The implementation of 3D-UNet using PyTorch

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

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

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

BCDU-Net : Medical Image Segmentation

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

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

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

Deep learning applied to georeferenced datasets

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

Pytorch code for semantic segmentation using ERFNet

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Understanding Convolution for Semantic Segmentation

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

Binary semantic segmentation with UNet based on MobileNetV2 encoder

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

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

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

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Tensorflow implementation : U-net and FCN with global convolution

Satellite Image Classification using semantic segmentation methods in deep learning

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

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

The U-Net Segmentation server (caffe_unet) for Docker

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

A semantic segmentation toolbox based on PyTorch

tensorflow version of unet

Implemenation of UNets for Lung Segmentation

End-to-end image segmentation kit based on PaddlePaddle.

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.

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+

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

Open solution to the Airbus Ship Detection Challenge

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks

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

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