Comments (5)
They are exchanged on purpose. PCA models are trained on Oxford to be applied on Paris and viceversa.
from retrieval-2016-deepvision.
@amaiasalvador can you explain why? thanks.
from retrieval-2016-deepvision.
We basically decided to do this to be consistent with other works in the literature in which PCA was also trained on Oxford and tested on Paris and viceversa. This is explained in the paper. You can find the references there.
from retrieval-2016-deepvision.
@amaiasalvador thanks.
from retrieval-2016-deepvision.
Why did you make PCA? is it a kind of clustering ? which is the K-mean?
from retrieval-2016-deepvision.
Related Issues (15)
- No region proposals detected HOT 2
- features.py Cause ERROR "check_array ValueError: Found array with 0 sample(s)"
- ValueError: could not broadcast input array from shape (0,512) into shape (512) HOT 2
- To get it to work with QE
- Asking some help for the pretrained model
- about dataset HOT 1
- About ranker.py HOT 1
- What is the dataset for fine-tuning? HOT 1
- Ask for the download link of pretrained model ~
- ZF Model HOT 2
- l2 normalization never actually occurs in this codebase HOT 1
- incompletelly downloading oxford and paris dataset? HOT 2
- Choice of features
- Trained Model HOT 5
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from retrieval-2016-deepvision.