Transforming the output of GANs by fine-tuning them with features from different datasets.
Terence BroadMick GriersonPublished in: CoRR (2019)
Keyphrases
- fine tuning
- benchmark datasets
- feature space
- feature extraction
- image features
- fine tune
- feature selection algorithms
- salient features
- key features
- feature set
- prior knowledge
- viable alternative
- extracted features
- svm classifier
- input data
- co occurrence
- general purpose
- database
- feature vectors
- artificial neural networks
- high dimensional
- training set
- support vector
- image segmentation
- feature selection
- real world
- neural network
- data sets
- real time