A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels.
Emeson SantanaGustavo CarneiroFilipe R. CordeiroPublished in: CoRR (2022)
Keyphrases
- data sets
- database
- statistical analysis
- raw data
- data sources
- training data
- synthetic data
- data collection
- labelled data
- original data
- training examples
- data processing
- image data
- probability distribution
- training samples
- pairwise
- missing data
- data quality
- semi supervised
- knowledge discovery
- training set
- data distribution
- data structure
- high quality
- noisy data
- data mining