Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset.
Martin MundtSagnik MajumderSreenivas MuraliPanagiotis PanetsosVisvanathan RameshPublished in: CoRR (2019)
Keyphrases
- meta learning
- image dataset
- neural architectures
- multi target
- inductive learning
- defect classification
- learning tasks
- neural network
- model selection
- machine learning algorithms
- decision trees
- machine learning
- data mining
- image annotation
- multi sensor
- high dimensional
- image database
- image classification
- multi class
- base classifiers
- feature vectors
- multi target tracking