You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I have a question regarding the Re-parameterization Design discussed in your paper. Based on the experimental results, it appears that the Re-parameterization Design improves the method's performance. However, the Re-parameterization should be an equivalent transformation, why does it lead to an increase in accuracy?
I look forward to your reply!
The text was updated successfully, but these errors were encountered:
Thank you for your question. In ablation experiments, what we refer to as "removing Re-parameterization convolutions" is equivalent to adding I-LIF neurons to multiple convolutions, which in turn leads to a decrease in accuracy.
Hi, thank you for your awesome work!
I have a question regarding the Re-parameterization Design discussed in your paper. Based on the experimental results, it appears that the Re-parameterization Design improves the method's performance. However, the Re-parameterization should be an equivalent transformation, why does it lead to an increase in accuracy?
I look forward to your reply!
The text was updated successfully, but these errors were encountered: