Comments (2)
Hi,
I'm not one of the authors, but I also noticed this. However, when you look at the details of the experiments (e.g. in tools/SoCo_FPN_100ep.sh
) you can see that the default argparse
values are overwritten to be consistent with the paper. So the base learning rate is set to 1 and the optimizer is LARS etc. I've also double checked the logs from my run and they agree with the paper.
Hope this helps!
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Thanks @linusericsson for your great comments.
Indeed there are lots of parameters, the log will help to reproduce the results provided in paper.
The results of BYOL in our paper are obtained from PixPro.
We also struggled to reproduce the BYOL.
To reproduce the results of some classic works including BYOL, please refer to the PyContrast repo.
Thanks for you interests.
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