Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding.
Yilei ShiQingyu LiXiao Xiang ZhuPublished in: CoRR (2019)
Keyphrases
- convolutional neural network
- structured data
- segmented regions
- point distribution
- segmentation method
- multiscale
- image segmentation
- level set
- graph structure
- random walker
- min cut max flow
- segmentation algorithm
- blood pool
- spectral embedding
- feature set
- random walk
- region growing
- graph theory
- directed acyclic graph
- face detection
- shape prior
- fully automatic
- feature selection
- bipartite graph
- image regions
- vector representation
- graph embedding
- graph representation
- graph model
- connected components
- directed graph
- normalized cut
- graph grammars
- vector space
- image features
- image analysis
- feature vectors
- object segmentation