ZhangMu

Results 6 comments of ZhangMu

Thank you for quick response, look forward to the updates

Excuse me, I've implemented the training code and I am confused about the details of the inhibition loss. I learn from the paper that the loss is based on the...

Thank you very much for your quick reply and the code is really helpful to me. May I ask what the `BPN` represents. Does it contain the negetive and global...

Thank you very much for your help! I'll try it.

Hello! @limuloo There is one detail that I am not very sure about the cross attention layer without migc. Is it use vanilla cross attention or naive fuser during training?

I see, Thank you!