Thank you for open-sourcing your work.
Did you try the no-fix setting in cfg-train.py? What was the takeaway there? Is it better the complete network end-to-end or just fine-tune the regression heads as done for the released models?
I tried to run this setting, but ran into an error:
RuntimeError: Function 'SubMConvFunctionBackward' returned nan values in its 1th output.
Thank you for open-sourcing your work.
Did you try the
no-fixsetting incfg-train.py? What was the takeaway there? Is it better the complete network end-to-end or just fine-tune the regression heads as done for the released models?I tried to run this setting, but ran into an error:
RuntimeError: Function 'SubMConvFunctionBackward' returned nan values in its 1th output.