jiaxue1993 / Deep-Encoding-Pooling-Network-DEP-

Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018

Deep-Encoding-Pooling-Network-DEP-

[Paper] [Project]

This repository contains the code for our CVPR 2018 paper:

Jia Xue, Hang Zhang, Kristin Dana
"Deep Texture Manifold for Ground Terrain Recognition"
in Proc. CVPR 2018

Setup

Prerequisites

• Ubuntu 14.04
• Pytorch 0.4.0

Getting Started

• Clone this repo:

git clone [e-mail]:jiaxue1993/Deep-Encoding-Pooling-Network-DEP-.git
cd Deep-Encoding-Pooling-Network-DEP-

• Install Pytorch-Encoding
• Download the database, release to dataset folder
• Run the code by bash run.sh

Datasets

You can find the database here

Acknowledgement

This work was supported by National Science Foundation award IIS-1421134. A GPU used for this research was donated by the NVIDIA Corporation.