Dehamer

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您好，我想请问一下，您的模型在真实雾天场景下有测试过吗？我这边测试真实场景并没有变化

HY59927

Hi, I’m currently trying to train the model on Nh-Haze dataset, and I found that in the Section 4.1 of the paper, you have mentioned that you gradually enlarge the...

chihlingchang

Number of GPUs for training

1

How many GPUs are used during training? In the paper, it is mentioned a single V100 is used for implement, wondering the number of GPUs used for training.

FireWallDragonDarkFluid

val_data和val_data_train

2

请问val_data和val_data_train这两个py文件哪个是用来测试集的数据读取呢？两个.py文件有什么区别呢？

liu0619

Some questions about experimental settings.

3

In paper 4.1 Experimental Settings, I found that when training the network the image patch is from small to full size, but I do not see the corresponding part in...

Hi-WenXin

About incredible low metrics in ITS results

1

when compared with 608X448 Sots GT (indoor), the results are suprisingly low, including the offical results released, below 17psnr average

nbbllxx0

Hi Thanks for the exciting work. I am trying to reproduce your results by training from scratch. I found some missing details in the paper and the training settings in...

zlou

I am unable to reproduce the results on NH-HAZE dataset by training from scratch, can anyone give me some advice please?

zhuqinghe

图片结果

1

请问你是否能尽快上传一下对比实验及你网络在Dense-Haze和NH-haze这两个测试数据集的output

RC-Qiao

1，我在真实数据上进行测试，效果十分不理想。这种虽然PSNR和SSIM高，但效果未必好，如何解决呢？如果只追求更高的PSNR和SSIM，也只能说其回归性能更逼近真值，却未必能说解决真实问题。域适应的方法不知道作者是否有所考虑？ 2，使用合成数据训练，倘若真值本就有薄雾，在真值上再加雾。然后训练模型，训练的模型能否突破原有真值的上界，将真值中本就存在的雾去掉呢？我觉得这是不可能的，因为现在的训练方法只是去逼近真值，无法超越真值。

mengxzh15