Combining the Best of Graphical Models and ConvNets for Semantic Segmentation.
Michael CogswellXiao LinSenthil PurushwalkamDhruv BatraPublished in: CoRR (2014)
Keyphrases
- graphical models
- semantic segmentation
- conditional random fields
- map inference
- feed forward
- belief propagation
- probabilistic model
- superpixels
- weakly supervised
- bayesian networks
- graph structure
- long range
- object categories
- pascal voc
- scene classification
- back propagation
- object classes
- object class
- artificial neural networks
- markov random field
- object classification
- image classification
- co occurrence
- object recognition