XD-MAP generates pseudo labels for LiDAR semantic segmentation from camera images using parametric maps, improving 2D and 3D segmentation performance by up to 32.3 mIoU without manual labeling.
Cross-sensor domain adaptation for high spatial resolution urban land-cover mapping: From airborne to spaceborne imagery.Remote Sensing of Environment, 277: 113058, 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
XD-MAP: Cross-Modal Domain Adaptation via Semantic Parametric Maps for Scalable Training Data Generation
XD-MAP generates pseudo labels for LiDAR semantic segmentation from camera images using parametric maps, improving 2D and 3D segmentation performance by up to 32.3 mIoU without manual labeling.