Multi-class structural damage segmentation using fully convolutional networks.
Juan Jose RubioTakahiro KashiwaTeera LaiteerapongWenlong DengKohei NagaiSergio EscaleraKotaro NakayamaYutaka MatsuoHelmut PrendingerPublished in: Comput. Ind. (2019)
Keyphrases
- multi class
- pixel labeling
- multi class classification
- image segmentation
- binary classification
- support vector machine
- multiclass classification
- segmentation algorithm
- object detection
- cost sensitive
- pairwise
- multi class svm
- multiple classes
- multiscale
- feature selection
- multiclass problems
- binary classifiers
- machine learning
- multi class boosting
- segmentation method
- medical images
- multi task
- multi class problems
- decision trees
- data sets
- multi class classifier
- binary and multi class