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Joint Learning #456

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Hossam-Tarek33 opened this issue Apr 5, 2021 · 2 comments
Closed

Joint Learning #456

Hossam-Tarek33 opened this issue Apr 5, 2021 · 2 comments

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@Hossam-Tarek33
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Hello,
i have added a decode_head that suppose to generate 3 outputs and i need each one of them to be trained "Joint Learning". I am actually lost between the files and I don't know what to modify in order to compute the loss and accuracy for the 3 outputs and not just single output as usual in all the models.

Can anyone please help me ?

Thanks a lot in advance
Hossam

@xvjiarui
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xvjiarui commented Apr 5, 2021

Hi @Hossam-Tarek33
You may consider following the example of DA Head (https://github.com/open-mmlab/mmsegmentation/blob/master/mmseg/models/decode_heads/da_head.py)

@Hossam-Tarek33
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Hi @xvjiarui
Thank you very much

aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
* adding more typehints

* resolving mypy issues

* resolving formatting issue

* fixing isort issue

Co-authored-by: V Vishnu Anirudh <git.vva@gmail.com>
Co-authored-by: V Vishnu Anirudh <vvani@kth.se>
aravind-h-v pushed a commit to aravind-h-v/mmsegmentation that referenced this issue Mar 27, 2023
Revert "adding more typehints to DDIM scheduler (open-mmlab#456)"

This reverts commit a0558b1.
wjkim81 pushed a commit to wjkim81/mmsegmentation that referenced this issue Dec 3, 2023
sibozhang pushed a commit to sibozhang/mmsegmentation that referenced this issue Mar 22, 2024
* titlecase

Signed-off-by: lizz <lizz@sensetime.com>

* tiny

Signed-off-by: lizz <lizz@sensetime.com>

* changelog

Signed-off-by: lizz <lizz@sensetime.com>

* Update changelog.md
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