GANST: Gradient-aware Arbitrary Neural Style Transfer.
Haichao ZhuPublished in: PG (Short Papers, Posters, and Work-in-Progress Papers) (2021)
Keyphrases
- network architecture
- knowledge transfer
- neural network
- transfer learning
- connectionist models
- bio inspired
- computer vision
- general conditions
- biologically inspired
- artificial neural
- biologically plausible
- gradient information
- neural model
- semi supervised
- multiscale
- case study
- information systems
- artificial intelligence
- learning algorithm