- https://github.com/commaai/comma10k 10k crowdsourced images for training segnets
- https://github.com/meetshah1995/pytorch-semseg Semantic Segmentation Architectures Implemented in PyTorch, including PSPNet, ICNet, FRRN, FCN, U-Net, LinkNet, Segnet
- https://github.com/LeeJunHyun/Image_Segmentation pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.
- https://github.com/divamgupta/image-segmentation-keras Implementation of Segnet, FCN, UNet and other models in Keras.
- https://github.com/ankitdhall/imageSegmentation Image Segmentation using Texture and Color features in C++
- https://github.com/qubvel/segmentation_models Image Segmentation based on Keras with models of Unet, FPN, Linknet, PSPNet
- https://github.com/CSAILVision/sceneparsing Development kit for MIT Scene Parsing Benchmark
- https://github.com/CSAILVision/semantic-segmentation-pytorch Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
- https://github.com/NathanUA/Edge-based-Salient-Boundary-Tracking Real-time salient closed boundary tracking using perceptual grouping and shape priors (BMVC 2017)
- https://github.com/lucasb-eyer/pydensecrf Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
- https://github.com/sunyao123/CRF-semantic-segmentation CRF-semantic-segmentation
- https://www.kaggle.com/keegil/keras-u-net-starter-lb-0-277?scriptVersionId=2164855/notebook Keras U-Net starter.
- https://github.com/zhixuhao/unet unet for image segmentation using Keras
- https://github.com/mattzheng/U-Net-Demo U-Net图像分割demo
- https://github.com/jakeret/tf_unet Generic U-Net Tensorflow implementation for image segmentation
- https://github.com/LiuDongjing/BuildingChangeDetector 基于U-Net检测卫星图像上的新增建筑
- https://github.com/ternaus/TernausNet UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
- https://github.com/reachsumit/deep-unet-for-satellite-image-segmentation Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
- https://github.com/MrGiovanni/UNetPlusPlus An implementation of "UNet++: A Nested U-Net Architecture for Medical Image Segmentation" in Keras
- https://github.com/1044197988/Semantic-segmentation-of-remote-sensing-images 基于深度学习关于遥感影像的语义分割
- https://github.com/TachibanaYoshino/Remote-sensing-image-semantic-segmentation Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
- https://github.com/unlimblue/u_net u net (remote sensing image segmentation)
- https://github.com/LiaoLIDIP/sea_sky_segmentation U-net for sea-sky segmentation
- https://github.com/fyu/dilation Dilated Convolution for Semantic Image Segmentation
- http://liangchiehchen.com/projects/DeepLab.html homepage of deeplab
- https://sthalles.github.io/deep_segmentation_network/ Explanation of Deeplabv3.
- https://github.com/DrSleep/tensorflow-deeplab-resnet tensorflow implementation of deeplab v2
- https://github.com/sthalles/deeplab_v3 tensorflow implementation of deeplab v3
- https://github.com/bonlime/keras-deeplab-v3-plus Keras implementation of Deeplab v3+ with pretrained weights
- https://github.com/rishizek/tensorflow-deeplab-v3-plus DeepLabv3+ built in TensorFlow
- https://github.com/Golbstein/Keras-segmentation-deeplab-v3.1 Improvement on deeplabv3+ supporting subpixel, CRF, fast training...
- https://github.com/Epsilon123/Semantic-Segmentation-of-Remote-Sensing-Images 遥感图像的语义分割，分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型，keras+python
- https://hszhao.github.io/projects/pspnet/ homepage of PSPNet
- https://github.com/hszhao/PSPNet Implementation of "Pyramid Scene Parsing Network" in Caffe
- https://hszhao.github.io/projects/icnet/ Homepage of ICNet
- https://github.com/hszhao/ICNet Implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images" in Caffe.
- https://github.com/hellochick/ICNet-tensorflow TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
- https://github.com/scaelles/DEXTR-KerasTensorflow Keras of Deep Extreme Cut.
- https://github.com/scaelles/DEXTR-PyTorch Pytorch of Deep Extreme Cut.
- https://github.com/zlkanata/DeepGlobe-Road-Extraction-Challenge D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
- https://github.com/guosheng/refinenet MATLAB and MatConvNet based implementation.
- https://github.com/DrSleep/light-weight-refinenet Light-Weight RefineNet for Real-Time Semantic Segmentation in Pytorch
- https://github.com/hiwonjoon/tf-frrn Implementation of FRRn in tensorflow
- http://mi.eng.cam.ac.uk/projects/segnet Homepage of Segnet
- https://github.com/alexgkendall/caffe-segnet Caffe implementation of SegNet
- https://github.com/alexgkendall/SegNet-Tutorial Files for a tutorial to train SegNet for road scenes using the CamVid dataset
- https://github.com/alexgkendall/SegNet-Tutorial/blob/master/Example_Models/segnet_model_zoo.md example SegNet models
- https://github.com/alexturn/SegNet Semantic segmentation for road scenes
- https://github.com/developmentseed/skynet-train Training and test the SegNet neural network on satellite imagery
https://github.com/HyeonwooNoh/DeconvNet "DeconvNet : Learning Deconvolution Network for Semantic Segmentation" in Caffe
- https://github.com/ZijunDeng/pytorch-semantic-segmentation large kernel matters in PyTorch.
- https://github.com/junfu1115/DANet Dual Attention Network for Scene Segmentation (CVPR2019)