Weakly Supervised Classification of Objects in Images Using Soft Random Forests.
Riwal LefortRonan FabletJean-Marc BoucherPublished in: ECCV (4) (2010)
Keyphrases
- random forests
- weakly supervised
- image classification
- decision trees
- object detectors
- input image
- random forest
- machine learning algorithms
- bounding box
- image regions
- multiple objects
- object class
- target object
- superpixels
- image features
- object recognition
- classification accuracy
- ensemble methods
- support vector machine
- multiple images
- unsupervised learning
- support vector
- class labels
- partial occlusion
- test images
- logistic regression
- semi supervised
- image retrieval
- training data
- machine learning
- machine learning methods
- segmentation method
- data mining
- object segmentation
- text classification
- feature set
- supervised learning
- feature vectors
- feature extraction
- relation extraction