MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization.
Tomaso FontaniniEleonora IottiAndrea PratiPublished in: CoRR (2019)
Keyphrases
- training set
- gray scale
- training algorithm
- color images
- training phase
- semi automatic
- multi agent
- test set
- supervised learning
- online learning
- interpolation method
- training samples
- hidden markov models
- visual features
- feature vectors
- video sequences
- color space
- decision trees
- training process
- multimedia
- image processing
- gray scale images
- feature selection