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
Your IAT is trained on 689 LOL training images.
But the original LOL dataset just contains 485 training images.
Table 1 shows the results of the LOL dataset. Other methods, like MAXIM, are trained on the original dataset.
More training data means better results. It seems the author extends external training data for better results.
The author should give a reasonable explanation for why conducts so unfair comparison.
The text was updated successfully, but these errors were encountered:
Really thanks for your attention, we have renew our Arxiv version, and the renewed results on LOL-V1 results is 23.38 and 0.809. The new Arxiv version will be update this week. I'll release the training code and test code on LOL-V1 dataset as soon as possible. Any question else please drop here~
Your IAT is trained on 689 LOL training images.
But the original LOL dataset just contains 485 training images.
Table 1 shows the results of the LOL dataset. Other methods, like MAXIM, are trained on the original dataset.
More training data means better results. It seems the author extends external training data for better results.
The author should give a reasonable explanation for why conducts so unfair comparison.
The text was updated successfully, but these errors were encountered: