cswluo / crossx Goto Github PK

Hi,

Thank you for the code!

I wanted to know if you have with you hyperparameters to train a model from scratch on cub-200-2011 or vgg-aircraft? I tried using the default values however, they seem to be giving very bad performance.

Thanks.

hi, I want to train CrossX on my dataset, however the results is much worse than resnet's . And I notice that your model have different hyperparameter and structure for different fined-grained dataset, and I want know is there any standard or uniform parameters for other classification dataset?
I would appreciate it if you can reply~

Hi @cswluo , thank you for providing the good work.

I downloaded the pretrained models of SENet and ResNet but when I run inference on CUB and NABirds, the accuracies were different from reported numbers:
Specifically, on CUB dataset, I only got 0.5% compared to 87.x % in your report:

Could you check the provided pretrained files?

Thank you for your help

Hi Luo!

Thanks for open sourcing the code in PyTorch! I was wondering what the license of the repo is?

Cheers

As the title, both of pretrained models are invaliding, can you fix it? please.

@cswluo I went to the Baidu to get the pretrained models. However, given I am not a chinese user, I was not able to create an account to download. Is it possible to give me access to the nabirds_CrossX-SENet50.model and nabirds_CrossX-SENet50.model please?