Boosted Training of Convolutional Neural Networks for Multi-Class Segmentation.
Lorenz BergerEoin HydeMatt GibbNevil PavithranFaiz MumtazSébastien OurselinPublished in: CoRR (2018)
Keyphrases
- multi class
- convolutional neural networks
- boosted classifiers
- multi class classification
- multi class classifiers
- segmentation algorithm
- support vector machine
- multiclass classification
- binary classification
- image segmentation
- multi class classifier
- training set
- pairwise
- object detection
- multi class svm
- multi class boosting
- feature selection
- multiple instance learning
- multiple classes
- multiclass problems
- error correcting output codes
- cost sensitive
- multi class object detection
- random forests
- base classifiers
- training examples
- training samples
- multiscale
- binary classifiers
- similarity measure
- data mining
- binary classification tasks