ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation.
Tsung-Han WuYueh-Cheng LiuYu-Kai HuangHsin-Ying LeeHung-Ting SuPing-Chia HuangWinston H. HsuPublished in: CoRR (2021)
Keyphrases
- point cloud
- semantic segmentation
- active learning
- conditional random fields
- superpixels
- weakly supervised
- point sets
- structure from motion
- scene classification
- semi supervised
- training examples
- object categories
- object class
- machine learning
- object recognition
- image segmentation
- pascal voc
- sparse reconstruction
- learning algorithm
- object classes
- supervised learning
- multi view
- image classification
- image retrieval
- computer vision