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Nanne / pytorch-NetVlad

Pytorch implementation of NetVlad including training on Pittsburgh.
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recall #91

Closed whuzs closed 10 months ago

whuzs commented 10 months ago

Hi, Nanne. You have done a great jod on reproducing Net-Vlad!! I have a little problem on recall results, i got similar results as you on Pitts-30k dataset, which are: ====> Calculating recall @ N ====> Recall@1: 0.8567 ====> Recall@5: 0.9507 ====> Recall@10: 0.9713 ====> Recall@20: 0.9840 => Best Recall@5: 0.9508

But in Patch-NetVLAD paper, pitts-30k results is: image

The difference is about 3%

Is this result reasonable?

Nanne commented 10 months ago

Thanks! The difference may just be in the backbone used, the original NetVlad uses AlexNet backbone and scores a bit lower than the VGG16 I used here.

The Recall@5 and @10 perhaps seem a bit low compared to the @1 recall.

This is not really a code issue though, so will close it.