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Great repo! How do I perform relocalization based on the prebuilt map?
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have you tried to summarize the output of the net into one d-dimensional feature vector?
Looking up n descriptors per image query is computationally too expensive for my use-case.
To speed up retr…
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@Livefull Hi,I am sorry about your rejected journal article. I think the method in the paper is very meaningfull.I want train my own speaker recognition system ,but i can't find the train code.
In yo…
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I want to use google landmark datasets for training . But i think this code looks like global descriptor needed in advance in .npz format. How can i get the Initialized global descriptor?
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Apologies if my question sounds dumb!
I would like to know if it makes sense to use netvlad for place recognition of problems dealing with sequences of images (SLAM) over seasonal changes (no speci…
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Hi,
I am working on a very difficult dataset and for most of the image pairs your method works very well! Thank you.
But for some other images I get a large number of matches where the majority i…
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Hi,
I have some questions about the paper "Detect-to-Retrieve: Efficient Regional Aggregation for Image Search"
- To train the Delf features, would it be good to use instead of a standard cross-ent…
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Do you guys also have `deploy.prototxt` and `model.caffemodel` files compatible with python?
Or is there any workaround to convert those `.mat` model files into `deploy.prototxt` and `model.caffemo…
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Thanks a lot for your nice work. Do you have ideas how to further improve the max F1 score? I notice the first a few winners achieved around or greater than 0.9.