Your work has been of great help for my research, so thank you very much first of all.
I was trying to implement your work on rotated mnist and CIFAR-10.
Here are my questions..
1)When trying to train CIFAR-10, I tried to leverage your model TIgraNet_eth80 in models.py.
It seems like there's a problem directly using this on 3 channel input with filter_size_in set as 1.
It didn't work of course, so I changed the filter_size_in to be 3 for spectral_conv1. Then, the model training proceeded but the model was barely trained.
Did you grayscale-ized the color image or is there something I am missing???
Thank you!
Your work has been of great help for my research, so thank you very much first of all.
I was trying to implement your work on rotated mnist and CIFAR-10.
Here are my questions..
1)When trying to train CIFAR-10, I tried to leverage your model TIgraNet_eth80 in models.py.
It seems like there's a problem directly using this on 3 channel input with filter_size_in set as 1.
It didn't work of course, so I changed the filter_size_in to be 3 for spectral_conv1. Then, the model training proceeded but the model was barely trained.
Did you grayscale-ized the color image or is there something I am missing???
Thank you!