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QVPR / Patch-NetVLAD

Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
MIT License
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Store global features image-by-image #36

Closed Tobias-Fischer closed 2 years ago

Tobias-Fischer commented 2 years ago

Hi @StephenHausler,

Together with Hasini we found an issue in the case when, at feature matching stage, only a subset of the images is used from the feature extraction stage. I propose to store the global features in the same way as the local features, i.e. image-by-image. In this case we can read the subset of global features. It should not be too hard to code.

What do you think?

/cc @mingu6 @oravus

StephenHausler commented 2 years ago

Sure, that sounds good. It will be easy to code, I'll look into it.

StephenHausler commented 2 years ago

Completed in new branch global_per_image, closing this issue.