rwenqi / GFN-dehazing

Gated Fusion Network for Single Image Dehazing

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

About loss function

KosumosuL opened this issue · comments

Hi, rwenqi!
Sorry to be a bother, but i am really interested in your work and want to train your model on my dataset. However i'm confused by the the multi-scale content loss that combined the loss in each scale. Does this means that i need to create a multi-label train set, and each label is the ground truth with different scales?
Owing to my poor comprehension of caffe, it's hard for me to solve this problem, can you share your approach with me?

Hi,
Yes, you need to compute the loss in each scale. But the ground-truth labels (images) are very easy to obtain, you just need to downsample the images and then compute losses.

thanks :)

Hi, rwenqi!
Sorry to be a bother, but i am really interested in your work and want to train your model on my dataset. However i'm confused by the the multi-scale content loss that combined the loss in each scale. Does this means that i need to create a multi-label train set, and each label is the ground truth with different scales?
Owing to my poor comprehension of caffe, it's hard for me to solve this problem, can you share your approach with me?

hi, buddy , have you achieved the trained model in your dataset? I am now have some questions for the same purpose, can you leave me a contact or add a wechat for discussing the question, my wechat is mxz1997112.