# sceneednet

**Repository Path**: blankxz/sceneednet

## Basic Information

- **Project Name**: sceneednet
- **Description**: Implementation of Convolutional Neural Network for Scene Flow Estimation
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-10-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


# SceneEDNet 
==================

Implementation of ICARCV 2018 version of [SceneEDNet](https://ieeexplore.ieee.org/abstract/document/8581172).


# Dependencies
====================

Keras >= 2.1.4 

OpenCV


# Citation
====================

The code is available for research purpose. If you are using the code in your research work, please cite the following paper.

    @inproceedings{thakur2018sceneednet,
    title={SceneEDNet: A Deep Learning Approach for Scene Flow Estimation},
    author={Thakur, Ravi Kumar and Mukherjee, Snehasis},
    booktitle={2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)},
    pages={394--399},
    year={2018},
    organization={IEEE}
    }