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Li-Chongyi / Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

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question on the paper #25

Open chriszxk opened 1 year ago

chriszxk commented 1 year ago

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

Li-Chongyi commented 1 year ago

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 https://github.com/Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open/issues/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>

chriszxk commented 1 year ago

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?