Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation.
Zeju LiKonstantinos KamnitsasBen GlockerPublished in: CoRR (2021)
Keyphrases
- class imbalance
- neural network
- image segmentation
- class distribution
- active learning
- cost sensitive learning
- cost sensitive
- sampling methods
- imbalanced datasets
- high dimensionality
- graph cuts
- concept drift
- imbalanced data
- markov random field
- feature selection
- majority class
- minority class
- pattern recognition
- decision trees
- image processing
- cross validation
- computer vision
- learning algorithm
- generalization error
- error prone
- training process
- multilayer perceptron
- knn
- prior knowledge
- training data
- e learning