SketchGNN: Semantic Sketch Segmentation with Graph Neural Networks.
Lumin YangJiajie ZhuangHongbo FuXiangzhi WeiKun ZhouYouyi ZhengPublished in: ACM Trans. Graph. (2021)
Keyphrases
- neural network
- graph model
- min cut max flow
- pattern recognition
- back propagation
- fuzzy logic
- domain specific
- segmentation method
- graph theory
- semantic web
- level set
- medical images
- artificial neural networks
- random walker
- random walk
- segmentation algorithm
- min cut
- bipartite graph
- genetic algorithm
- graph structure
- segmentation accuracy
- image segmentation
- structured data
- directed graph
- image processing
- primal sketch
- multiscale
- natural language
- fully automatic
- shape prior
- recurrent neural networks
- semantic annotation
- connected components
- graph cuts
- weighted graph
- image analysis
- graph databases
- segmented images
- region growing
- fully unsupervised
- sketch recognition
- graph matching