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This is the demo code for the submitted paper "A Scene Graph Encoding and Matching Network for UAV Visual Localization"

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Scene Graph Matching demo

This is the pytorch implementation for the submitted paper "A Scene Graph Encoding and Matching Network for UAV Visual Localization".

The detailed implementation of the proposed network (as the following figures show) can be find in .\sceneGraphEncodingNet\nets.py

The whole net

Prepare test dataset

Download dataset University-Release from University1652 (https://github.com/layumi/University1652-Baseline) to path ./data like this:

.\data
    \University-Release
        \test
            \gallery_satellite
            \query_drone	
	

Run demo

We provide a pre-trained model in ./weights

The R@5 recall results will be saved to file ./recall_results.csv

Sampled results:

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This is the demo code for the submitted paper "A Scene Graph Encoding and Matching Network for UAV Visual Localization"

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