There are 6 repositories under fully-convolutional-networks topic.
Semantic Segmentation Architectures Implemented in PyTorch
A Keras port of Single Shot MultiBox Detector
PyTorch for Semantic Segmentation
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
🚘 Easiest Fully Convolutional Networks
liver segmentation using deep learning
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Deep and Machine Learning for Microscopy
A Single Shot MultiBox Detector in TensorFlow
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.
Semantically segment the road in the given image.
Convolutional Neural Networks for Cardiac Segmentation
Tensorflow implementation : U-net and FCN with global convolution
Keras implementation of paper by the same name
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
Training a deep FCN network in PyTorch to route circuit layouts
Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition
Segmentation of prostate from MRI scans
Building, training and deploying a fully convolutional neural network in TensorFlow
NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
A TensorFlow Implementation of Fully Convolutional Networks
Printed and handwritten text segmentation using fully convolutional networks and CRF post-processing
FCN, U-Net models implementation in TensorFlow for fashion clothing parsing
A Keras-Tensorflow Fully Convolutional Network that performs image segmentation on faces