Fully convolutional neural network for semantic segmentation. Enables a quadrotor to track and follow a person in a simulated city environment containing other persons and objects.
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Updated
Dec 14, 2017 - HTML
Fully convolutional neural network for semantic segmentation. Enables a quadrotor to track and follow a person in a simulated city environment containing other persons and objects.
Udacity Robotics Software Engineer Nanodegree project : Follow Me
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Pytorch implementation of the model architecture of LEDNet
Prostate MR Image Segmentation 2012
Official implementation of Spatial Feedback Learning to Improve Semantic Segmentation in Hot Weather.
Tensorflow based framework for 3D-Unet with Knowledge Distillation
UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.
Best practices for segmentation of the corporate network of any company
This repository contains the material from the paper "Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation"
Iterative Vertebrae Segmentation - VerSe dataset
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