Amortized Inference and Learning in Latent Conditional Random Fields for Weakly-Supervised Semantic Image Segmentation.
Gaurav PandeyAmbedkar DukkipatiPublished in: CoRR (2017)
Keyphrases
- weakly supervised
- conditional random fields
- structured prediction
- semantic segmentation
- superpixels
- discriminative learning
- image segmentation
- markov random field
- learning algorithm
- probabilistic model
- learning process
- higher order
- semi supervised
- topic models
- long range
- latent variables
- crf model
- unsupervised learning
- generative model
- active learning
- segmentation method
- energy function
- named entities
- training examples
- named entity recognition
- relation extraction
- graph cuts
- information extraction
- prior knowledge
- image processing