Multi-level graph convolutional recurrent neural network for semantic image segmentation.
Dingchao JiangHua QuJi-hong ZhaoJianlong ZhaoWei LiangPublished in: Telecommun. Syst. (2021)
Keyphrases
- recurrent neural networks
- image segmentation
- graph partitioning
- neural network
- graph model
- complex valued
- normalized cut
- feed forward
- graph theory
- long short term memory
- neural model
- reservoir computing
- random walk
- recurrent networks
- bipartite graph
- graph structure
- hidden layer
- weighted graph
- directed graph
- image processing
- echo state networks
- multiscale
- feedforward neural networks
- fuzzy c means
- connected components
- graph cuts
- level set
- artificial neural networks
- computer vision
- region growing
- active contours
- semantic web
- nonlinear dynamic systems
- structured data
- deep learning
- segmented regions
- natural language
- support vector