A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
Emeson PereiraGustavo CarneiroFilipe R. CordeiroPublished in: SIBGRAPI (2022)
Keyphrases
- data sets
- training data
- statistical analysis
- data analysis
- labelled data
- noisy data
- training set
- prior knowledge
- training samples
- database
- survey data
- raw data
- missing data
- synthetic data
- high quality
- data points
- data sources
- pairwise
- supervised learning
- data mining techniques
- input data
- small number
- labeled data
- knowledge discovery
- training examples
- end users
- data distribution
- decision trees
- data quality
- incomplete data
- data structure