56 Open Source Fully Convolutional Networks Software Projects
Free and open source fully convolutional networks code projects including engines, APIs, generators, and tools.
Cntk Fully Convolutional Networks13 ⭐
CNTK implementation of Fully Convolutional Networks (FCN) with ResNet for semantic segmentation
Semantic Segmentation26 ⭐
A Fully Convolutional Network (FCN) script to label the pixels of a road in images
Carnd Semantic Segmentation P215 ⭐
Udacity Self-Driving Car Nanodegree - Semantic Segmentation Project
Fcnn Example25 ⭐
This is a fully convolutional neural net exercise to detect houses from aerial images.
Image Segmentation On Faces36 ⭐
A Keras-Tensorflow Fully Convolutional Network that performs image segmentation on faces
Fc Densenet Tensorflow120 ⭐
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
Some Udacity Projects11 ⭐
Some of my projects as a former mentor, reviewer, and beta-tester of Robotics and Self-Driving Car ND
This was my research project at IIT Bombay on Lung Segmentation from Chest X-Rays Images
Usuyama Pytorch Unet607 ⭐
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
Brain Tumor Segmentation Using Deep Neural Networks86 ⭐
Keras implementation of paper by the same name
Rough Sketch Simplification Using Fcnn29 ⭐
This is a PyTorch implementation of the the Paper by Simo-Sera et.al. on Cleaning Rough Sketches using Fully Convolutional Neural Networks.
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Fashion Clothing Parsing26 ⭐
FCN, U-Net models implementation in TensorFlow for fashion clothing parsing
Printed Hw Segmentation20 ⭐
Printed and handwritten text segmentation using fully convolutional networks and CRF post-processing
Affromero Fcn11 ⭐
PyTorch Implementation of Fully Convolutional Networks, for VGG and ResNet backbones.
Open Ucn73 ⭐
The first fully convolutional metric learning for geometric/semantic image correspondences.
Keras implementation of "DFNet: Discriminative feature extraction and integration network for salient object detection"
Building, training and deploying a fully convolutional neural network in TensorFlow
Label Pixels26 ⭐
Label-Pixels is a tool for semantic segmentation of remote sensing images using fully convolutional networks (FCNs), designed for extracting the road network from remote sensing imagery and it can be used in other applications applications to label every pixel in the image ( Semantic segmentation).
Light Sernet16 ⭐
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Cascaded Fcn298 ⭐
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
This project is to use fully convolutional networks to do organ/tissue segmentation from medical images.
Here I post a code for doing segmentation in medical images using tensorflow
[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation
Image Segmentation Fcn84 ⭐
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow