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ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.
Sicheng Zhao
Yezhen Wang
Bo Li
Bichen Wu
Yang Gao
Pengfei Xu
Trevor Darrell
Kurt Keutzer
Published in:
AAAI (2021)
Keyphrases
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end to end
point cloud
domain adaptation
cross domain
point cloud data
image segmentation
structure from motion
surface reconstruction
general purpose
viewpoint
congestion control
semi supervised
multiple sources
sentiment classification
decision trees
laser scanner
real world