Weakly Supervised Random Forest for Multi-Label Image Clustering and Segmentation.
Yingjie XiaQianqian ZhuWei WeiPublished in: ICMR (2015)
Keyphrases
- random forest
- multi label
- image classification
- weakly supervised
- segmentation method
- image segmentation
- segmentation algorithm
- graph cuts
- text categorization
- superpixels
- image annotation
- multiscale
- energy function
- test images
- input image
- decision trees
- image representation
- image content
- image features
- class labels
- image regions
- feature set
- object segmentation
- similarity measure
- image retrieval
- text classification
- bounding box
- shape prior
- visual words
- high resolution
- natural images
- data analysis
- mean shift
- feature space
- prior knowledge
- learning algorithm