Comments (3)
@cheer00 hello, I advise you load the imagenet-vgg-f.mat in matlab, and analyze it. If you also are puzzled,you can my watch my repository (cvpr2108-SSAH). I follow this work and have little modification
from ssah.
Hi, have you found the right imagenet-vgg-f.mat?
I have tried this one--http://www.vlfeat.org/matconvnet/models/imagenet-vgg-f.mat
but there is a problem "mean = data['normalization'][0][0][0] KeyError: 'normalization'"
Then I tried this http://www.vlfeat.org/matconvnet/models/imagenet-vgg-verydeep-19.mat as anishathalye/neural-style#4 advised.
The problem--KeyError: 'normalization-- solved, but there are still erros, as the layers written in code of SSAH are not the same in the imagenet-vgg-verydeep-19.mat
so, I want to know where to get the imagenet-vgg-f.mat used in this paper.
from ssah.
hi, your work is great. Although there are some differences with the original paper.
can I get your pretrained vgg16.mat?thanks
Besides, your tensorflow version is ?
have you got the vgg16.mat?
from ssah.
Related Issues (12)
- KeyError: Unable to open object (object 'images' doesn't exist)
- The experiment on the NUS-WIDE dataset
- Hyperparameter when using VGG-19
- How to plot Precision-Recall curves on cross-modal hashing retrieval task? HOT 2
- about the versions
- about the code's feasibility
- the result is different from paper HOT 2
- Can u give me the BoW on COCO DataSet?
- parameter for NUS-WIDE ? HOT 1
- an indecerror
- training time
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from ssah.