Lighting-the-Darkness-in-the-Deep-Learning-Era-Open
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Li-Chongyi
question on the paper
Dear professor:
Thank you for providing us the excellent paper as a reference. The table 5 in your paper published on PAMI, the results of DRBN (PSNR, SSIM, LPIPS) are 15.125, 0.472, 0.316, respectively, but in official paper(From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement, web address: https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_From_Fidelity_to_Perceptual_Quality_A_Semi-Supervised_Approach_for_Low-Light_CVPR_2020_paper.pdf）,the results are : 20.13, 0.82, 0.16).
So, the values is wrong in your paper? Best regards, Chris
Hi,
We run the official code to obtain the results and compute the values. You can try the code by yourself.
chriszxk @.***> 于2023年4月4日周二 16:57写道：
Dear professor:
Thank you for providing us the excellent paper as a reference. The table 5 in your paper published on PAMI, the results of DRBN (PSNR, SSIM, LPIPS) are 15.125, 0.472, 0.316, respectively, but in official paper(From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement, web address: https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_From_Fidelity_to_Perceptual_Quality_A_Semi-Supervised_Approach_for_Low-Light_CVPR_2020_paper.pdf）,the results are : 20.13, 0.82, 0.16).
So, the values is wrong in your paper? Best regards, Chris
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Hi, We run the official code to obtain the results and compute the values. You can try the code by yourself. chriszxk @.***> 于2023年4月4日周二 16:57写道： … Dear professor: Thank you for providing us the excellent paper as a reference. The table 5 in your paper published on PAMI, the results of DRBN (PSNR, SSIM, LPIPS) are 15.125, 0.472, 0.316, respectively, but in official paper(From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement, web address: https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_From_Fidelity_to_Perceptual_Quality_A_Semi-Supervised_Approach_for_Low-Light_CVPR_2020_paper.pdf）,the results are : 20.13, 0.82, 0.16). So, the values is wrong in your paper? Best regards, Chris — Reply to this email directly, view it on GitHub <#25>, or unsubscribe https://github.com/notifications/unsubscribe-auth/AIEVQEL5ZSJO6R6TAVWG633W7PO65ANCNFSM6AAAAAAWSMZC5Y . You are receiving this because you are subscribed to this thread.Message ID: <Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open/issues/25@ github.com>
Excuse me for bother you, why did you run the code again instead of copying their results in your paper?