Deep-Encoding-Pooling-Network-DEP-
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Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018
Deep-Encoding-Pooling-Network-DEP-
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 [email protected]: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.