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Experimental Data for the Paper 'Rotation-Aware Representation Learning for Remote Sensing Image Retrieval'

<p><strong>Experimental Data for the Paper &#39;Rotation-Aware Representation Learning for Remote Sensing Image Retrieval&#39;</strong></p> <p>In this repository, we provide the implementation of the algorithms developed in the paper &#39;Rotation-Aware Representation Learning for Remote Sensing Image Retrieval&#39; along with the experimental results.<br> The goal is to provide the elements needed to validate and reproduce our research work as well as all the tools needed to reach the same conclusions as we did.<br> The licences valid for the elements of this repository are discussed under point &quot;2. Licenses&quot; below.</p> <p><em><strong>1. Structure</strong></em></p> <p>The repository contains the following items:</p> <ol> <li>&quot;data&quot; - the results from our experiments</li> <li>&quot;lib&quot; - some external functions used in the experiments</li> <li>&quot;make_data&quot; - the training and test data</li> <li>&quot;fmt-vgg.py&quot; - the FMT-RAN model</li> <li>&quot;stn.py&quot; - the STN module of ST-RAN</li> <li>&quot;st_ran.py&quot; - the ST-RAN model</li> <li>&quot;README&quot; - this text here.</li> <li>&quot;LICENSE&quot; - the <a href="https://mit-license.org/">MIT License</a></li> </ol> <p><strong><em>2. License</em></strong></p> <p>The following licenses apply for the files and folders:</p> <ul> <li>The files &quot;stn.py&quot; and &quot;spatial_transformer_tutorial.py&quot; in the folder &quot;lib&quot; are from the GitHub repository <a href="https://github.com/GHamrouni/stn-tuto">https://github.com/GHamrouni/stn-tuto</a> and therefore are under the copyright of its repository owner Ghassen Hamrouni.</li> <li>All other files are under the <a href="https://mit-license.org/">MIT License</a>.</li> </ul> <p>The <a href="https://mit-license.org/">MIT License</a> is included here as file &quot;LICENSE&quot;.</p> <p><em><strong>3. Contact</strong></em></p> <p>1. Dr. <a href="http://iao.hfuu.edu.cn/146">Zhize WU</a>, <a href="mailto:wuzz@hfuu.edu.cn">wuzz@hfuu.edu.cn</a><br> 2. Dr. <a href="http://iao.hfuu.edu.cn/5">Thomas WEISE</a>, <a href="mailto:tweise@hfuu.edu.cn">tweise@hfuu.edu.cn</a>, <a href="http://mailto:tweise@ustc.edu.cn">tweise@ustc.edu.cn</a></p> <p><a href="http://iao.hfuu.edu.cn">Institute of Applied Optimization</a>,&nbsp; &nbsp;<br> School of Artificial Intelligence and Big Data,&nbsp; &nbsp;<br> Hefei University, South Campus 2, Jinxiu Dadao 99,&nbsp; &nbsp;<br> Hefei Economic and Technological Development Area,&nbsp; &nbsp;<br> Shushan District, Hefei 230601, Anhui, China</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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