Regarding the semantic images from SemanticKITTI-DVPS, they seem to be pretty sparse compared to the ones in the paper. Do you process the semantic image in order to obtain more dense segments, if so, how?
Thanks for the question. The paper shows densified annotations for visualization purpose only. For training and evaluation, we used sparse annotations as what you showed here.
Thank you for your work!
Regarding the semantic images from SemanticKITTI-DVPS, they seem to be pretty sparse compared to the ones in the paper. Do you process the semantic image in order to obtain more dense segments, if so, how?