A category-level geometry embedding and consistency loss improve domain-generalized 3D point cloud semantic segmentation by about 1-2 mIoU on adverse-weather benchmarks.
Fog simulation on real lidar point clouds for 3d object detection in adverse weather
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Domain-aware Category-level Geometry Learning Segmentation for 3D Point Clouds
A category-level geometry embedding and consistency loss improve domain-generalized 3D point cloud semantic segmentation by about 1-2 mIoU on adverse-weather benchmarks.