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Questions about Re-parameterization Design. #24

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jikerWRN opened this issue Nov 22, 2024 · 1 comment
Open

Questions about Re-parameterization Design. #24

jikerWRN opened this issue Nov 22, 2024 · 1 comment

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@jikerWRN
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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!

@XinhaoLuo666
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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.

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