I noticed the large model with 256 channels provides better results on Waymo, but the models for nuscenes and argoverse are not scaled up and use 128 channels. Is there a particular reason for this decision, or do you think the same scaling work on these datasets as well?
Hi, thanks for publishing the code for your work!
I noticed the large model with 256 channels provides better results on Waymo, but the models for nuscenes and argoverse are not scaled up and use 128 channels. Is there a particular reason for this decision, or do you think the same scaling work on these datasets as well?