# TOD_OMR

**Repository Path**: mrobotit/TOD_OMR

## Basic Information

- **Project Name**: TOD_OMR
- **Description**: Official Matlab Implementation for "Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression", TIP 2020
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-04-25
- **Last Updated**: 2021-04-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression
Official Matlab Implementation for "Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression", TIP 2020

## Introduction

This repository contains the official Matlab implementation for "Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression".
This paper has been accepted by IEEE Transactions on Image Processing (TIP) 2020.

 - The Matlab implementation of the earlier version is available in the [code link](https://github.com/XuefengBUPT/Tiny-Obstacle-Discovery).
 
 - The Python/ROS implementation of the earlier version is available in the [code link](https://github.com/XuefengBUPT/Tiny-Obstacle-Discovery-ROS).


## Citation

If you find the paper or the code useful, please cite our paper:
```
@article{Xue_tip_2020,
  title={Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression},
  author={Feng Xue, Anlong Ming and Yu Zhou},
  journal={IEEE Transactions on Image Processing},
  year={2020},
}
```

# News

2020/09/24, the code will be released after we obtain the license !!!