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I tried to implement based on your project.
However, when I trained my network, the training loss graph seems not good.
I compared the estimated hand & obj with GT data in millimeter unit.
So, the chamfer distance loss and other losses are too big to reduce until when they become zero.
At this point, the total loss decreases at 1e+5, and it does not reduce at all.
So, can you share your loss graph?
I wonder how your network trained based on ObMan dataset.
Thank you.
TY.
The text was updated successfully, but these errors were encountered:
Hello,
Thank you for your nice works!
I tried to implement based on your project.
However, when I trained my network, the training loss graph seems not good.
I compared the estimated hand & obj with GT data in millimeter unit.
So, the chamfer distance loss and other losses are too big to reduce until when they become zero.
At this point, the total loss decreases at 1e+5, and it does not reduce at all.
So, can you share your loss graph?
I wonder how your network trained based on ObMan dataset.
Thank you.
TY.
The text was updated successfully, but these errors were encountered: