PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds.
Zhaoqi LengShuyang ChengBenjamin CaineWeiyue WangXiao ZhangJonathon ShlensMingxing TanDragomir AnguelovPublished in: CoRR (2022)
Keyphrases
- unlabeled data
- labeled data
- labeled and unlabeled data
- semi supervised learning
- data points
- point cloud
- supervised learning
- learning algorithm
- semi supervised
- data sets
- prior knowledge
- active learning
- training data
- co training
- training examples
- labeled training data
- learning tasks
- learning models
- positive examples
- domain adaptation
- supervised learning algorithms
- labeled instances
- data analysis
- nearest neighbor
- point cloud data
- reinforcement learning
- missing data
- training set
- sample selection bias