Hey,
In your paper you claimed that the model has 13.29 million parameters but when I run training there are 128 million parameters, can you please explain such a difference? I would not believe that running the model in inference model (without the 3D encoder) would reduce the number of parameters by 10 times.
Cheers,
Carlen
Hey,
In your paper you claimed that the model has 13.29 million parameters but when I run training there are 128 million parameters, can you please explain such a difference? I would not believe that running the model in inference model (without the 3D encoder) would reduce the number of parameters by 10 times.
Cheers,
Carlen