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amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

cityscapesscripts

README and scripts for the Cityscapes Dataset

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-residual-unet

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

deep_residual_unet

Keras implementation of Road Extraction by Deep Residual U-Net article

deeplab-v2--resnet-101--tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplabv3plus-pytorch

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

denseaspp

DenseASPP for Semantic Segmentation in Street Scenes

denseaspp-tensorflow

A Tensorflow implementation of denseASPP trained on Cityscape dataset.

dilation

Dilated Convolution for Semantic Image Segmentation

drn

Dilated Residual Networks

fcn-resnet101

tensorflow resnet101 fcn semantic segmentation

fcn-segmentation-tensorflow

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-transfer-learning-for-oxford102

Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset

keras-vis

Neural network visualization toolkit for keras

models

Models and examples built with TensorFlow

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-unet

Tunable U-Net implementation in PyTorch

pytorch-unet-1

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

pytorch_challenge

resnet

Implementation of Deep Residual Learning / Residual Network for MSR paper http://arxiv.org/abs/1512.03385

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

semantic-segmentation-using-fully-convolutional-networks

In this project, we'll construct a fully convolutional neural network based on the VGGNet-16 architecture to perform semantic segmentation on a video captured from a front facing camera mounted on a vehicle dashboard to identify the drivable surface area.

tensorflow-cnn-finetune

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

tensorflow-vgg

VGG19 and VGG16 on Tensorflow