Cannot reproduce accuracy 84% (after step2) about bilinear-cnn

[rohitgajawada]

Ya my bad, realized it immediately after commenting :P If I find another repo that is able to reach the required accuracy, I'll notify you

[rohitgajawada]

Have you tried doing step-2 directly?

[asanakoy]

@rohitgajawada yes, it gets even lower ~ 57%

[rohitgajawada]

Oh that is sad, I also need a reproducible bilinear-cnn in pytorch.
In this code after doing the bilinear operation, the output x is only undergoing a sqrt operation. In the original paper, they do: sign(x) * sqrt(|x|) instead. Could this be a cause of reduced accuracy or am I missing something out?

[rohitgajawada]

Never mind, saw issue #4

[asanakoy]

That's not a problem, since they compute a Gram matrix after Relu. Do you have any other good repository in mind?

[rohitgajawada]

Hi @HaoMood , any updates with this problem? Were you able to obtain the 84% test accuracy?

[HaoMood]

It is weird, since random seeds are fixed and I had tried it several times to make it can be re-implemented before this submission.

Maybe you can give some details about your hardware, such as the GPU used as well as CUDA and cuDNN version.