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I would like to ask if all training samples are input with color during the pre-training process?
In the zero-shot classification experiment, for ModelNet40, color input was not used. Should these dimensions be deleted or replaced with a fixed value (0.4)?
If color is not used as input in pre-training, will there be any impact on downstream tasks?
The text was updated successfully, but these errors were encountered:
These dimensions are replaced with a fixed value 0.4 for inference. This value keeps the same as the one we set in training.
We do include samples with color and without color during pre-training, which lead to robust performance in downstream tasks with colored/no color point clouds as input.
This is a very meaningful job!
The text was updated successfully, but these errors were encountered: