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I read your code carefully, it is well written and I learned a lot, thank you for sharing.
But I don't understand why these pieces of code are calculated in this way, and I can't find the answer in …
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Hi, as I reproduce the result of cct+netvlad, I used the command: `python train.py --dataset_name=msls --backbone=cct384 --aggregation=netvlad --mining=partial --trunc_te=8 --freeze_te=1 --resize 38…
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Hello, I'm studying netvlad and the pitts30 datasets is necceray for the beginers, so could you provide it for me?
ming45853584@gmail.com
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On the `feature_match.py` file there's a small bug in:
https://github.com/QVPR/Patch-NetVLAD/blob/main/feature_match.py#L141
where you do:
```
faiss_index.search(qFeat, min(len(qFeat), max(n_value…
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https://github.com/Nanne/pytorch-NetVlad and https://github.com/Relja/netvlad/
What is the difference between these two NetVLAD programs?
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Hello. Could you please tell me which loss function did you use and which part of the code shows the loss function?
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I didn't find a way to get the data from this article 【NetVLAD: CNN architecture for weakly supervised place recognition】。
Is this data obtained from here【https://github.com/Relja/netvlad/tree/master…
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https://www.di.ens.fr/willow/research/netvlad/data/netvlad_v100_datasets.tar.gz。
I downloaded the netvlad_v100_datasets.tar.gz file from the download link you gave in the readme.md file.
There are m…
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thanks for the remarkable work.
have u done the experiment on the tokyo dataset?
it seems that the performance is too much lower than the results in the paper.
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I didn't find a way to get the data from this article 【NetVLAD: CNN architecture for weakly supervised place recognition】。
Is this data obtained from here【https://github.com/Relja/netvlad/tree/master…