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How much gain did self-distillation bring? #10

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renliao opened this issue Nov 12, 2024 · 2 comments
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How much gain did self-distillation bring? #10

renliao opened this issue Nov 12, 2024 · 2 comments

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@renliao
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renliao commented Nov 12, 2024

Hello,

Thank you for your outstanding work! This is my first time encountering self-distillation applied to event-based motion deblurring, and I am very curious about the performance improvements it provides. Specifically, I would like to know what the PSNR/SSIM values would be if only a single training stage were used.

Thank you, and I look forward to your reply!

@XiangZ-0
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XiangZ-0 commented Nov 12, 2024

Hi, thanks for your question. Self-distillation is used to improve the generalization ability across spatial and temporal dimensions. We have conducted related experiments, and some results are reported in Section 4.3 of our paper, specifically models 3 (one-stage) and 6 (two-stage) in Tab. 3 and Fig. 6. Hope this helps :)

@renliao
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renliao commented Nov 12, 2024

Thank you for your reply. I understand your work better now.

@renliao renliao closed this as completed Nov 12, 2024
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