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researchmm / DBTNet

Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"
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Pytorch version #5

Open IssamLaradji opened 4 years ago

IssamLaradji commented 4 years ago

Will there be a pytorch version of this?

Thanks!

lxztju commented 4 years ago

I also hope that there will be a pytorch or tensorflow version of this code.

wuwusky commented 4 years ago

I have transformed code from mxnet to pytorch，howerver it is just a structural reproduction @IssamLaradji @lxztju you can find it in ‘https://github.com/wuwusky/DBT_Net ：）

CoderHHX commented 4 years ago

@wuwusky youxiu, Have you compared your re-implementation with the original paper on CUB datasets?

wuwusky commented 4 years ago

@wuwusky youxiu, Have you compared your re-implementation with the original paper on CUB datasets?

emm，no~，i just made a strctural reproduction and test it by a simple tensor with random value

goldentimecoolk commented 4 years ago

@wuwusky youxiu, Have you compared your re-implementation with the original paper on CUB datasets?

youxiu is triple six! what's your implementation result of cub200?

hhhlllll commented 1 month ago

I have transformed code from mxnet to pytorch，howerver it is just a structural reproduction @IssamLaradji @lxztju you can find it in ‘https://github.com/wuwusky/DBT_Net ：）

Thanks for the code, but is the above code incomplete?