Uncertainty based model selection for fast semantic segmentation.
Yu-Hui HuangMarc ProesmansStamatios GeorgoulisLuc Van GoolPublished in: MVA (2019)
Keyphrases
- model selection
- semantic segmentation
- conditional random fields
- superpixels
- scene classification
- parameter estimation
- weakly supervised
- pascal voc
- model selection criteria
- mixture model
- machine learning
- object class
- object recognition
- feature selection
- unsupervised learning
- bag of words
- object classes
- object detection
- image set
- multiscale
- graphical models
- semi supervised