Towards Noise-Robust Neural Networks via Progressive Adversarial Training.
Hang YuAishan LiuXianglong LiuJichen YangChongzhi ZhangPublished in: CoRR (2019)
Keyphrases
- neural network
- training process
- image noise
- training algorithm
- noisy environments
- pattern recognition
- multi layer perceptron
- additive noise
- noise level
- salt pepper
- feed forward neural networks
- neural nets
- back propagation
- test set
- feedforward neural networks
- computationally efficient
- imaging artifacts
- greater robustness
- label noise
- geometric distortions
- training set
- multilayer perceptron
- face recognition
- artificial neural networks
- neural network model
- genetic algorithm
- fuzzy logic
- backpropagation algorithm
- robust statistical
- supervised learning
- error back propagation
- data sets
- radial basis function