Popular GitHub Repositories for Fully Convolutional Networks

Semantic Segmentation Architectures Implemented in PyTorch

PyTorch for Semantic Segmentation

? ? Near Real Time CPU Face detection using deep learning

U-Time: A Fully Convolutional Network for Time Series Segmentation

Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

A Keras-Tensorflow Fully Convolutional Network that performs image segmentation on faces

in this repo, I create models to process image (upscale, debluring...)

CNTK implementation of Fully Convolutional Networks (FCN) with ResNet for semantic segmentation

This project is to use fully convolutional networks to do organ/tissue segmentation from medical images.

Road detection in satellite imagery using fully convolutional neural networks.

This is my implementation of the Udacity Robotics Nanodegree Deep Learning Project, wherein we devise and train a Fully Convolutional Deep Neural Network to perform image segmentation and object recognition given 2-dimensional image training data. The objective being enabling a drone to identify and follow a target person in a simulated environment

Road and lane detection are important steps in the car's scene understanding. For that purpose, I use a FCN to labele very pixel in the image

In this repository, we thoroughly examine the concepts of Image Segmentation and provide a comprehensive Python implementation using the Tensorflow framework.

Drivable Area Prediction with Semantic Segmentation

A fully convolutional neural network to label drivable area in street images