Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results.
Fanjie KongCheng ChenBohao HuangLeslie M. CollinsKyle BradburyJordan M. MalofPublished in: IGARSS (2019)
Keyphrases
- multi class
- multiple classes
- pairwise
- multiple independent
- multi class classifiers
- multiple types
- object detection
- multi class classification
- cost sensitive
- support vector machine
- training examples
- training set
- binary and multi class
- restricted boltzmann machine
- multi class boosting
- multi class svm
- data sets
- training dataset
- binary classification
- multi class classifier
- error correcting output codes
- multiple instance learning
- binary classifiers
- multi label classification
- boosting algorithms
- multiclass classification
- binary classification problems
- training data
- feature selection
- multi class object detection
- multi class problems
- base classifiers
- test data
- class labels
- machine learning