Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images.
Shiran ZadaItay BenouMichal IraniPublished in: ICML (2022)
Keyphrases
- random noise
- image data
- low signal to noise ratio
- image classification
- data sets
- training samples
- training and testing data
- small number
- input image
- image noise
- image database
- support vector
- training set
- input data
- training examples
- missing data
- feature selection
- extracted features
- satellite images
- image structure
- noisy data
- data points
- training data
- image analysis
- sampling methods
- noise free
- labelled data
- original data
- gaussian noise
- training dataset
- high dimensional data
- feature space
- edge detection
- supervised learning
- image registration
- semi supervised