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Hello! thank you for your great contribution to semi supervised semantic segmentation. How to adjust the parameters of the number of decoders in the code? And how to adjust the parameters of the numbe…
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Example: https://mila.quebec/en/publications/
It would be nice to reuse the same code as in the Mila website. Not sure if that's 'easily' possible via RTD
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Hi, thanks your excellent work and nice code style.
I notice the cam_eval_thres are set to 0.21, is there some reason to set this value?
And I notice the other repos will traversal the threshold…
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Thank you for meticulously maintaining this repository!
Could you add our recent work on unsupervised domain adaptation (UDA), semi-supervised domain adaptation (SSDA), and weakly-supervised domain…
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Thanks for sharing your great code!.
I was trying to train your semi-supervised model on a custom data. yet I always get ``unsup_loss_rpn_bbox: 0.0000``, `unsup_loss_bbox:` `0.0000` even after a long…
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### Describe the issue linked to the documentation
Many legitimate notebook style examples have been broken, and specifically by the following PR
https://github.com/scikit-learn/scikit-learn/pull/…
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The model is currently based on the [pix2pix](https://phillipi.github.io/pix2pix/) model.
One optional extension is to use separate channels per annotation (configured in `color_map.conf`).
Howeve…
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Hello, I am new to medical AI. I downloaded the source code you published and the data set you used(COVID-SemiSeg Dataset) and followed your steps to try, but the model I trained, the train_dice is cl…
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Hi, thanks for the awesome survey & repo!
We believe a related semi-supervised video object segmentation work RPCM (AAAI2022, paper: https://arxiv.org/abs/2112.02853, code: https://github.com/Jerry…