ygean / se_densenet Goto Github PK

hi
I see in se_densenet_full.py, it use model.load_state_dict(state_dict, strict=is_strict)
And in test_se_densenet.py, it use
model = se_densenet121(pretrained=pretrained)
net_state_dict = {key: value for key, value in model_zoo.load_url("https://download.pytorch.org/models/densenet121-a639ec97.pth").items()}
model.load_state_dict(net_state_dict, strict=False)
why?

Hi, thanks for sharing your experiment results. I checked and found that you may have some redundant code in the _Dense layer that adds thr seblock in of convolution. You added it in loop (for) and after first convolution. Why do you add seblock in _Dense_layer again? Thanks

Hi) Thank you for your great work!
Could you show an amount of model parameters? I'm trying to implement SE-DenseNet from the scratch for my diploma work and I am not sure that my SE implementation is correct (it adds more than 3 millions parameters...)

It needs all guys to run codes and report bugs, and then fix them.