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Published 20 hours ago • verified publisher icon The-Learning-And-Vision-Atelier-LAVA

difference with paper

Open nicetomeetu21 opened this issue 3 years ago • 2 comments

https://github.com/LongguangWang/SMSR/blob/af9b04ceb5e6820f5df5e372f58f66bb8f85d024/model/smsr.py#L253

I suggest that the subscript of ch_mask may be [:,:,i-1:i,:1]

nicetomeetu21 avatar Oct 18 '21 06:10 nicetomeetu21

Supplement: Fig. 5 in the paper shows that the feature should multiply with the channel mask of the last layer before convolutions. But in the code, the feature multiply with the channel mask of the current layer. pls check the code.

nicetomeetu21 avatar Oct 18 '21 06:10 nicetomeetu21

Hi @nicetomeetu21, thanks for reporting this issue and we have fixed it.

LongguangWang avatar Oct 18 '21 07:10 LongguangWang