Comments (4)
Hi, actually I did not face such a problem. Did you modify any setup?
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I carefully checked my command line and I used the default settings.
The collapse happens not only in the last generation but also in other generations, which confuses me greatly.
from openibl.
It's quite strange. How about using another random seed?
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Thanks a lot!
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Related Issues (20)
- About negative samples HOT 3
- how the training set is set up HOT 1
- Question on tab.3 of the paper HOT 2
- Evalution protocol
- Performances on Oxford and Paris HOT 6
- models for torch.hub
- .mat files HOT 3
- missing keys in state_dict HOT 1
- pitts 250k top-1 88.2% HOT 1
- About Normalize in get_transformer_train and get_transformer_test HOT 1
- reproduction problem HOT 9
- reproduction problem
- Extract descriptor of single image using models trained on custom datasets
- How to visualize the feature map like Fig.5 in paper?
- Reproducing SARE results
- Test on RParis and ROxford dataset
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- Reproduce results on Tokyo247 dataset HOT 2
- authors dont reply, found a better repo
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