LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation.
Amirreza ShabanJoonho LeeSanghun JungXiangyun MengByron BootsPublished in: ICCV (2023)
Keyphrases
- learning algorithm
- domain adaptation
- labeled data
- training data
- transfer learning
- semi supervised
- supervised learning
- point cloud
- unlabeled data
- manifold alignment
- machine learning
- semi supervised learning
- cross domain
- multiple sources
- pos tagging
- high resolution
- sentiment classification
- target domain
- unsupervised learning
- test data
- naive bayes
- co training
- training examples
- multi view
- document classification
- language model
- domain specific
- pairwise
- covariate shift