Hello,
I try to evaluate the pretrained model (i.e., densehaze-MB-TaylorFormer-L.pth) on Dense-Haze dataset, and I end up getting images attached, which is not very good. I'm not sure if I did something wrong or the results are correct. Could you tell me if they are correct?
Anyways, the method proposed is very solid and the results on ITS&OTS are satisfying. If possible, could you share some ideas on the performance on Dense-Haze? I think it might be that transformers need large datasets to perform well. Thank you so much!
Hello, I try to evaluate the pretrained model (i.e., densehaze-MB-TaylorFormer-L.pth) on Dense-Haze dataset, and I end up getting images attached, which is not very good. I'm not sure if I did something wrong or the results are correct. Could you tell me if they are correct?
Anyways, the method proposed is very solid and the results on ITS&OTS are satisfying. If possible, could you share some ideas on the performance on Dense-Haze? I think it might be that transformers need large datasets to perform well. Thank you so much!
![52_hazy](https://github.com/FVL2020/ICCV-2023-MB-TaylorFormer/assets/84186637/0ec29fca-d59c-4e00-b675-cc1592a40b1f)