Learning depth-sensitive conditional random fields for semantic segmentation of RGB-D images.
Andreas C. MüllerSven BehnkePublished in: ICRA (2014)
Keyphrases
- conditional random fields
- semantic segmentation
- weakly supervised
- structured prediction
- learning process
- information extraction
- graphical models
- learning algorithm
- long range
- markov random field
- crf model
- probabilistic model
- hidden markov models
- multi class
- color space
- superpixels
- pairwise
- higher order
- action recognition
- named entities
- active learning
- image processing
- computer vision