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

<strong>Experimental Data for the Paper 'Rotation-Aware Representation Learning for Remote Sensing Image Retrieval'</strong> In this repository, we provide the implementation of the algorithms developed in the paper 'Rotation-Aware Representation Learning for Remote Sensing Image Retrieval' 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 "2. Licenses" below. <em><strong>1. Structure</strong></em> The repository contains the following items: "data" - the results from our experiments "lib" - some external functions used in the experiments "make_data" - the training and test data "fmt-vgg.py" - the FMT-RAN model "stn.py" - the STN module of ST-RAN "st_ran.py" - the ST-RAN model "README" - this text here. "LICENSE" - the MIT License <strong><em>2. License</em></strong> The following licenses apply for the files and folders: The files "stn.py" and "spatial_transformer_tutorial.py" in the folder "lib" are from the GitHub repository https://github.com/GHamrouni/stn-tuto and therefore are under the copyright of its repository owner Ghassen Hamrouni. All other files are under the MIT License. The MIT License is included here as file "LICENSE". <em><strong>3. Contact</strong></em> 1. Dr. Zhize WU, [e-mail]<br> 2. Dr. Thomas WEISE, [e-mail], [e-mail] Institute of Applied Optimization, <br> School of Artificial Intelligence and Big Data, <br> Hefei University, South Campus 2, Jinxiu Dadao 99, <br> Hefei Economic and Technological Development Area, <br> Shushan District, Hefei 230601, Anhui, China