Important note: On September 7, 2026, the KITTI and KITTI-360 servers had to be restored to the backed-up state of August 7, 2026. Results within this period have to be resubmitted.
A baseline method for 3D instance segmentation by clustering the semantic segmentation results into instances.
Parameters:
Latex Bibtex:
@InProceedings{Qi2017NeurIPS, author = {Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J}, title = {PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, booktitle = {NeurIPS}, year = {2017}, }