RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures.
Chengjie NiuManyi LiKai XuHao ZhangPublished in: CVPR (2022)
Keyphrases
- unsupervised learning
- supervised learning
- semi supervised
- shape model
- hierarchical structures
- deep learning
- shape recognition
- object recognition
- shape matching
- image structure
- model selection
- expectation maximization
- dimensionality reduction
- shape features
- three dimensional
- data sets
- deep architectures
- brain structures
- shape descriptors
- shape analysis
- multiresolution
- high dimensional
- pattern recognition
- face recognition
- computer vision
- learning algorithm
- machine learning