Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,

Last update: Dec 18, 2022

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Overview

FSRA

This repository contains the dataset link and the code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization, IEEE Transactions on Circuits and Systems for Video Technology. Thank you for your kindly attention.

requirement

Download the University-1652 dataset
Configuring the environment
- First you need to configure the torch and torchision from the pytorch website
- ```
pip install -r requirement.txt
```

Download pre-training weights

You can download the pre-training weight from the following link and put them in the pretrain_model folder

Baidu Driver code: 52n2
Google Driver

Train and Test

We provide scripts to complete FSRA training and testing

Change the data_dir and test_dir paths in train_test_local.sh and then run:

bash train_test_local.sh

Owner

Dmmm

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Code for our paper A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization,

Related tags

Overview

FSRA

requirement

Download pre-training weights

Train and Test

Owner

Dmmm

CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"

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