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“Fully Transformer Networks for Semantic Image Segmentation“ #1131

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stonewst opened this issue Dec 14, 2021 · 2 comments
Closed

“Fully Transformer Networks for Semantic Image Segmentation“ #1131

stonewst opened this issue Dec 14, 2021 · 2 comments
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@MengzhangLI @linfangjian01

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@stonewst
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Describe the feature

Motivation
This is our paper "Fully Transformer Networks for Semantic Image Segmentation" https://arxiv.org/pdf/2106.04108
It is effective and easy for reproduction.

Hope it can be included in mmseg !
If there is any issue about the reproduction, I am pleased to be of help.
@MengzhangLI
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MengzhangLI commented Dec 14, 2021 •
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Hi, thanks for your issue and suggestion.

Could you make a pull request about your work?

The code is better followed MMSegmentation norm. Here are related works: Twins(NeurIPS'21) and SETR(CVPR'21), you can follow their style. After making pr, we would review it as soon as possible.

Feel free to contact us anytime.

Wish you all the best,

@stonewst
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OK, thanks. I will prepare to make a PR.

aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
@anton-l
Bump to 0.8.0.dev0 (open-mmlab#1131)
2fcae69 
* Bump to 0.8.0.dev0

* deprecate int timesteps

* style
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@MengzhangLI @stonewst @linfangjian01