This repository contains code for our RA-L paper "Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments" which was also be presented at ICRA 2022. DOI: 10.1109/LRA.2022.3149030
The pre-print version of the paper is available on arxiv.
If using code within this repository, please refer to our paper in your publications:
@article{hussaini2022spiking,
title={Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments},
author={Hussaini, Somayeh and Milford, Michael J and Fischer, Tobias},
journal={IEEE Robotics and Automation Letters},
year={2022},
publisher={IEEE}
}
安装conda后,按照下面步骤配置环境即可
conda create -n vprsnn python==3.7
conda activate vprsnn
# 记得nvidia-smi看一下自己电脑的cuda版本
conda install cudatoolkit=10.2 -c pytorch -c conda-forge
# 这的requirements.txt做过小修改
pip install -r requirements.txt
涉及非常多文件路径处理,直接下载我处理好的数据集即可 BaiduDisk password:124v
This work was supported by the Australian Government via grant AUSMURIB000001 associated with ONR MURI grant N00014-19-1-2571, Intel Research via grant RV3.248.Fischer, and the Queensland University of Technology (QUT) through the Centre for Robotics.
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