richardaecn / cvpr18-inaturalist-transfer Goto Github PK
View Code? Open in Web Editor NEWLarge Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
License: MIT License
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
License: MIT License
Hi, I Have a couple of questions:
In LinearClassifierDemo.ipynb, you gave the query image and it extracts similar images from training data. What is the criteria that extract those five images? Like is there any feature matching criteria?
The features we got by using pretrained models, these pretrained models are available publicly or you trained these by yourself and which pretrained model train on which dataset?
https://drive.google.com/file/d/1vOHKuqt7XgROo9t5cblJvGf0kGpiFaF1/edit cannot open ?is it right?
Is there a code that can reproduce the results in the author's paper?
How to get the subset A/B in Table 6? Can you share the subset A and subset B ?
Hi,
Thanks for your work. Do you have the tf.SavedModel version of the pretrained models you show ?
If not, is there a way to transform a ckpt file in a tf.SavedModel easily ? I would like to use your model in keras at the very end if possible.
Amaury
NABIRDS datasets are showing very bad result in terms of accuracy (31.75%). Any suggestion, why?
I have been stay tuned for months.
Hi, is it possible to provide the JFT-pretrained ResNet-101 checkpoint so we could calculate the domain similarity for other custom datasets?
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