fully-convolutional-networks

pierluigiferrari/ssd_keras

A Keras port of Single Shot MultiBox Detector

zijundeng/pytorch-semantic-segmentation

PyTorch for Semantic Segmentation

SuperBruceJia/EEG-DL

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

usuyama/pytorch-unet

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

mattmacy/vnet.pytorch

A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

iitzco/faced

🚀 😏 Near Real Time CPU Face detection using deep learning

assassint2017/MICCAI-LITS2017

liver segmentation using deep learning

pochih/FCN-pytorch

🚘 Easiest Fully Convolutional Networks

ai-med/squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

IBBM/Cascaded-FCN

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

perslev/U-Time

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

pycroscopy/atomai

Deep and Machine Learning for Microscopy

ljanyst/ssd-tensorflow

A Single Shot MultiBox Detector in TensorFlow

shawnyuen/semantic_seg_paper_collection

HasnainRaz/FC-DenseNet-TensorFlow

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

JunshengFu/semantic_segmentation

Semantically segment the road in the given image.

vuptran/cardiac-segmentation

Convolutional Neural Networks for Cardiac Segmentation

holgerroth/3Dunet_abdomen_cascade

preritj/segmentation

Tensorflow implementation : U-net and FCN with global convolution

jadevaibhav/Brain-Tumor-Segmentation-using-Deep-Neural-networks

Keras implementation of paper by the same name

chrischoy/open-ucn

The first fully convolutional metric learning for geometric/semantic image correspondences.

ljanyst/image-segmentation-fcn

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

aitorzip/Keras-ICNet

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

AryaAftab/LIGHT-SERNET

Light-SERNet: A lightweight fully convolutional neural network for speech emotion recognition

venkanna37/Label-Pixels

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.

sjain-stanford/deep-route

Training a deep FCN network in PyTorch to route circuit layouts

pathak22/ccnn

[ICCV 2015] Framework for optimizing CNNs with linear constraints for Semantic Segmentation

gabrieldemarmiesse/heatmaps

amanbasu/3d-prostate-segmentation

Segmentation of prostate from MRI scans

himanshurawlani/fully_convolutional_network

Building, training and deploying a fully convolutional neural network in TensorFlow

minar09/Fashion-Clothing-Parsing

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

mirzaevinom/prostate_segmentation

NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures

Jumpst3r/printed-hw-segmentation

Printed and handwritten text segmentation using fully convolutional networks and CRF post-processing

Yuliang-Zou/tf_fcn

A TensorFlow Implementation of Fully Convolutional Networks

emredog/FCNN-example

This is a fully convolutional neural net exercise to detect houses from aerial images.