Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation.
George PapandreouLiang-Chieh ChenKevin P. MurphyAlan L. YuillePublished in: ICCV (2015)
Keyphrases
- semi supervised learning
- image segmentation
- semi supervised
- convolutional network
- labeled data
- unlabeled data
- convolutional neural networks
- supervised learning
- unsupervised learning
- semi supervised classification
- active learning
- co training
- training data
- machine learning
- graph cuts
- markov random field
- computer vision
- segmentation algorithm
- natural language
- segmentation method
- multiscale
- semantic similarity
- coarse to fine
- image processing
- level set
- image classification
- feature space
- active contours
- shape prior
- information retrieval
- data sets