Closed faruknane closed 1 year ago
according to our experiences, the imagenet nromalization doesn't matter. Besides, our model in DIS is trained without using pre-trained imagenet weights.
On Thu, Dec 8, 2022 at 11:41 AM Akif Faruk Nane @.***> wrote:
Hello @xuebinqin https://github.com/xuebinqin ,
In u2net, if I am not wrong, you were using imagenet normalization. However in this paper, you are using normalize(image,[0.5,0.5,0.5],[1.0,1.0,1.0]) . Is there a particular reason to do this? Or can we also go with the normalization in the u2net?
Thank you so much!
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-- Xuebin Qin PhD Department of Computing Science University of Alberta, Edmonton, AB, Canada Homepage: https://xuebinqin.github.io/
Okay, so we can also use imagenet normalization for DIS, right?
when retrain the model, you can use different normalization strategies. For using our provided model weights, the normalization should be kept as it is now.
On Sat, Dec 10, 2022 at 3:16 PM Akif Faruk Nane @.***> wrote:
Okay, so we can also use imagenet normalization for DIS, right?
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-- Xuebin Qin PhD Department of Computing Science University of Alberta, Edmonton, AB, Canada Homepage: https://xuebinqin.github.io/
Thank you so much! I was just wondering if anything was behind this choice. @xuebinqin
Hello @xuebinqin ,
In u2net, if I am not wrong, you were using imagenet normalization. However in this paper, you are using
normalize(image,[0.5,0.5,0.5],[1.0,1.0,1.0])
. Is there a particular reason to do this? Or can we also go with the normalization in the u2net?Thank you so much!