Proposes weighted self-incremental transfer learning to address class imbalance in 3D point cloud semantic segmentation and reports a new benchmark on the KITTI dataset.
Focal loss for dense object detection,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving
Proposes weighted self-incremental transfer learning to address class imbalance in 3D point cloud semantic segmentation and reports a new benchmark on the KITTI dataset.