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Where can I download the Pittsburgh 250k dataset,can you give me the url, thank you!
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Hi, thanks for sharing your nice work!!!
Looking into the paper, I realise that it also includes comparaisons on Oxford and Paris.
As I know, there are other approaches report better performance…
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First ,thanks for the remarkable work.Your work has inspired me a lot.
Now, I want to know whether the model trained on our network can be used to test the Oxford Buildings dataset or Paris Buildings…
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When the code is in clustering mode, a layer called L2Norm() is attached to the back of the existing vgg-16 and alexnet, and then clustering to obtain the cluster centroid. However, training mode does…
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There are some functions that cannot be implemented with this library, such as netvlad, so I can only use my own code. But because of voxelization, the numbers of point clouds in a batch are not the s…
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Dear AAnoosheh, thanks for your work. I have a question. I can utilize the NetVLAD to obtain the retrieved image, but I don‘t know how to calculate the threshold accuracy (I know the calculation formu…
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Hello,
first of all thank you for your great efforts. I tried your code on the Aachen dataset, and it performed well on SuperPoint+SuperGlue and SuperPoint+NN, but it was far from your results on …
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I wonder if you could kindly clarify differences between the following terms:
`batchSize` vs `cacheBatchSize` vs `cacheRefreshRate`
`self.nNegSample` vs `self.nNeg`
`self.nontrivial_positive…
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What a remarkable work it is! But when I am running the code, it always has the error "Out of Memory".
```
RuntimeError: CUDA error: out of memory
```
I guess it is the vesion problem. And it has…
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you are probably trying to process video level features whereas his code I think is for frame level features, I don't know if it would work by changing --feature_names="rgb,audio" to --feature_names="…