DBTNet
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Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
why set differentiable=False, will it block the gradient of weight and bias.
Thanks for your sharing. I have a problem: why train_data processing is different from val_data processing when they are got through interface of ImageRecordIter.
I don't understand the code in 'dbt.py', line 216 to 221. How to get the divisor of 128 and 512? plz
Will there be a pytorch version of this? Thanks!
Link for downloading pre-trained model does not work