Closed superxiaoying closed 3 years ago
@superxiaoying Hi, thanks for your attention. We use official SSC GT from semantickitti while use mannually generated GT for semanticposs dataset.
@yanx27 Thx. I think there maybe a little unfair for SSC task, since the number of training samples for standard SSC is about 1/5 of the all. The reported performance of JS3CNet paper uses all data, right? Have you tried less training samples and how much influence will it cause?
Best, Ying
Yes, we used 1/5 data for training of SSC, and it can achieve similar results. I think this because of the redundancy of LiDAR sequences.
Thanks for your response.
Hi,
Thanks for your great work.
I want to know that the SSC GT label "data_odometry_voxels_all.zip" is from the semantic-kitti official or you prepared it ? http://semantic-kitti.org/assets/data_odometry_voxels_all.zip
Best, Ying