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View Code? Open in Web Editor NEWCode for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
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 fail. Can you give me some suggestions to train my own GCN model? Thanks again.
can you tell me how to train on my own dataset,What is the dataset format like?
I tried to download the datasets from the url: https://s3.amazonaws.com/public.layer6.ai/GSS/GSS.tar.gz, but got an AccessDenied error. Could you please help me about it? thanks!
Can you please provide the way you generate the *ransac_graph.npy for the different datasets (query and index images)?
Great work!
Will a pytorch version be released for this code?
Thanks!
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 the GCN and build knn graph?
I am a green hand in image retrieval. Looking forward to your reply~
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