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Hi, could you note where the code about soft-assignments ?
Thanks!
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can you provide more detailed comparative data?
For example, testing data on Tokyo24/7 and Pitts30k-test for methods such as net VLAD and MixVPR?
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https://arxiv.org/abs/1902.10640
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There is a repository, which aims to avoid incorrect image registration called 'Doppelgangers': [link](https://github.com/RuojinCai/doppelgangers).
Implementing it into the pipeline should be straigh…
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**Describe the bug**
I just set this project up, but the installation instructions were incomplete.
I'm not sure if this should go in the AutoRecon or the AutoDecomp docs, so I figured I'd make an i…
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parameter& Dataset :
* Dataset : Sejong University building( in Seoul ) Image Dataset
* input image size : ( 128,128,3 )
* base model : VGG16( pretrained weights : 'imagenet')
* netVLAD clusterin…
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Hello,
I tried your pretrained model on cnnimageretrieval-pytorch test script, and I got
mAP : 67.90 for oxford (73.9 on your paper)
mAP : 76.64 for paris (82.5 on your paper)
Am i missing some…
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Hi, @antoine77340. I have download youtube-8m dataset. Then, i use video/frame test folder test your pretrained model. But i occur a error when testing, error information as follows:
INFO:tensorflow…
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Hi, can I train this model from scratch on other datasets and how can I do it? Thanks a lot!
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I followed the steps to try to train netvlad files for other datasets and simulate. I can successfully output all files, but when I run decentr_sim, the program will report an error, similar to the …