Reconstructive Training for Real-World Robustness in Image Classification.
David PatrickMichael GeyerRichard TranAmanda FernandezPublished in: WACV (Workshops) (2022)
Keyphrases
- image classification
- real world
- sparse coding
- wide range
- data sets
- classifier training
- training set
- training process
- case study
- image representation
- benchmark classification problems
- test set
- synthetic data
- feature extraction
- information systems
- hidden markov models
- visual features
- supervised learning
- real life
- artificial neural networks
- training samples
- training data
- sparse representation
- bag of words
- e learning
- synthetic datasets
- training phase
- genetic algorithm
- data mining