Training Robust Deep Neural Networks via Adversarial Noise Propagation.
Aishan LiuXianglong LiuHang YuChongzhi ZhangQiang LiuDacheng TaoPublished in: IEEE Trans. Image Process. (2021)
Keyphrases
- neural network
- image noise
- training process
- training algorithm
- feedforward neural networks
- neural network training
- feed forward neural networks
- pattern recognition
- label noise
- imaging artifacts
- multi layer perceptron
- missing data
- backpropagation algorithm
- geometric distortions
- noise model
- estimation error
- noise level
- noisy environments
- registration errors
- error back propagation
- fuzzy logic
- artificial neural networks
- multi layer
- training and testing data
- salt pepper
- recurrent neural networks
- feed forward
- signal to noise ratio
- self organizing maps
- back propagation
- training examples
- image restoration
- computationally efficient
- online learning
- support vector