A TensorFlow Implementation of Fully Convolutional Networks
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Updated
Mar 14, 2017 - Python
A TensorFlow Implementation of Fully Convolutional Networks
Here I post a code for doing segmentation in medical images using tensorflow
Convolutional Neural Networks for Cardiac Segmentation
Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow
Simple multi-class object detector using fully convolutional network.
fully convolutional networks
Semantic Segmentation of open road segments - Part of Udacity SDCND
road detection using semantic segmentation and fully connected neural network
[Caffe] A deep convnet developed for semantic segmentation task.
NCI-ISBI 2013 Challenge - Automated Segmentation of Prostate Structures
A TensorFlow implementation of Fully Convolutional Networks (by http://fcn.berkeleyvision.org) which can be used for any segmentation dataset with any number of classes
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation
Drivable Area Prediction with Semantic Segmentation
Use Fully Convolutional Nets to identify segments of image as drivable road
Semantic Segmentation Project for Self-Driving Car ND using a Fully Convolutional Network (FCN) in Python
Classifying the Road in Images with a Fully Convolutional Network (FCN)
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