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Questions on reproducing results from the paper #6

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haruishi43 opened this issue Nov 15, 2023 · 4 comments
Open

Questions on reproducing results from the paper #6

haruishi43 opened this issue Nov 15, 2023 · 4 comments

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@haruishi43
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Thank you for open sourcing your paper! The results presented in the paper are extremely compelling.

I have some questions and requests:

  1. do you plan to release all of the configs you used in the paper? I would greatly appreciate it so I can reproduce the Cityscapes results. Also, are there any weights that you can share to verify evaluations for Cityscapes and Pascal VOC?
  2. do you have a specific way to evaluate the trained models? I was going to start training the only available config ('cps_meanteacher_3b_w1.5_...'), and was wondering if the saved checkpoints can be directly used for tools/test.py.
  3. For ExpSemiLossCPSFAWS3 (which I assume is the Lst and Lss losses) seem to not use knowledge selection. Reading the code, the self.prob seems to be the threshold, but I don't see anywhere where that is set to 0.95 as in the paper.
@Hugo-cell111
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Hi! Have you reproduced the group of experiment of cps_meanteacher_3b_w1.5_?

@haruishi43
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@Hugo-cell111 hi, and I haven't. I mainly do experiments on Cityscapes, so I haven't downloaded Pascal yet. Did you get the code to run?

@Hugo-cell111
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Hugo-cell111 commented Nov 22, 2023 via email

@haruishi43
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No, I'm waiting for their response for the config they used for their cityscapes experiments.

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