Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation.
Srinivas C. TuragaJoseph F. MurrayViren JainFabian RothMoritz HelmstaedterKevin L. BriggmanWinfried DenkH. Sebastian SeungPublished in: Neural Comput. (2010)
Keyphrases
- image segmentation
- graph partitioning
- markov random field
- community discovery
- real world networks
- dynamic networks
- social networks
- multiscale
- method for image segmentation
- graph cuts
- automatically generate
- highly connected
- image processing
- pairwise
- small world
- boundary detection
- energy function
- complex networks
- network analysis
- graph theoretic
- heterogeneous networks
- region growing
- average degree
- gray level
- higher order
- graph matching
- community structure
- computer vision
- real world graphs
- small world networks
- unsupervised image segmentation
- fully connected
- graph structures
- deep learning
- random graphs
- power law
- graph mining