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

Last update: Jan 15, 2022

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Overview

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.
The Python/ROS implementation of the earlier version is available in the code link.

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 !!!

Owner

Xuefeng

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

Related tags

Overview

Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression

Introduction

Citation

News

Owner

Xuefeng

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

Related tags

Overview

Tiny Obstacle Discovery by Occlusion-aware Multilayer Regression

Introduction

Citation

News

Owner

Xuefeng

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LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.

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