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Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"

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Thanks for your Great work! I use netvlad to extract aachen datasets descriptors, and then use default parameters to train. Finally, I found query is bad and visual localization is...

Thank for your great work! I need use full data (maybe ten million) to build knn graph and train the GCN offline ? or I can use subset to train...

can you tell me how to train on my own dataset,What is the dataset format like?

Great work! Will a pytorch version be released for this code? Thanks!

Can you please provide the way you generate the *ransac_graph.npy for the different datasets (query and index images)?