Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs.
Siddhartha ChandraIasonas KokkinosPublished in: CoRR (2016)
Keyphrases
- multiscale
- image segmentation
- conditional random fields
- structured prediction
- markov random field
- superpixels
- higher order
- crf model
- max margin learning
- parameter learning
- image parsing
- edge detection
- image processing
- loopy belief propagation
- maximum likelihood
- random fields
- named entity recognition
- pairwise
- level set
- natural images
- natural language
- segmentation method
- bayesian networks
- graph cuts
- image analysis
- hidden markov models
- multiple scales
- object segmentation
- image labeling
- image representation
- undirected graphical models
- computer vision
- gaussian mixture model
- semantic information
- machine learning
- information extraction
- scale space
- probabilistic inference
- graphical models
- semantic similarity
- fully connected
- expectation maximization
- probabilistic model
- wavelet transform
- semantic segmentation
- exact inference
- efficient learning
- generative model
- semantic web
- active contours
- region growing