Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation.
Ruud BarthJochen HemmingEldert J. van HentenPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- level set
- image segmentation
- segmentation algorithm
- data driven
- region growing
- fully automatic
- segmentation method
- heterogeneous networks
- object segmentation
- social networks
- generative model
- medical images
- segmentation errors
- multiscale
- optimal segmentation
- segmented images
- improved algorithm
- virtual reality
- shape prior
- computer networks
- computer graphics
- unsupervised learning
- edge detection
- computer vision