A hierarchical conditional random field model for labeling and segmenting images of street scenes.
Qi-Xing HuangMei HanBo WuSergey IoffePublished in: CVPR (2011)
Keyphrases
- random field model
- street scenes
- segmenting images
- semantic segmentation
- multiscale
- image segmentation
- random fields
- conditional random fields
- superpixels
- pascal voc
- scene classification
- object segmentation
- weakly supervised
- object detection
- object class
- active learning
- markov random field
- computer vision
- object categories
- image set
- maximum entropy
- natural images
- probabilistic model
- object recognition
- image processing
- natural scenes
- long range
- segmentation method
- parameter estimation
- graphical models
- pairwise