Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation.
George PapandreouLiang-Chieh ChenKevin MurphyAlan L. YuillePublished in: CoRR (2015)
Keyphrases
- semi supervised learning
- image segmentation
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- supervised learning
- machine learning
- training data
- semi supervised classification
- manifold regularization
- semi supervised learning algorithms
- co training
- active learning
- graph based semi supervised learning
- markov random field
- regularization framework
- learning models
- label propagation
- image processing
- segmentation algorithm
- domain adaptation
- improve the classification accuracy
- energy function
- data sets
- learning algorithm
- semi supervised learning methods
- natural language
- transfer learning
- object segmentation
- unsupervised clustering
- information retrieval
- graph construction
- graph cuts
- level set