Latent Space Regularization for Unsupervised Domain Adaptation in Semantic Segmentation.
Francesco BarbatoMarco ToldoUmberto MichieliPietro ZanuttighPublished in: CVPR Workshops (2021)
Keyphrases
- semantic segmentation
- latent space
- generative model
- conditional random fields
- low dimensional
- object categories
- gaussian process
- superpixels
- scene classification
- dimensionality reduction
- feature space
- high dimensional
- object classes
- transfer learning
- distance metric
- object recognition
- information retrieval
- high dimensional data
- prior information
- bayesian framework
- model selection
- semi supervised
- multiscale
- natural images
- object segmentation
- image classification
- text mining
- data sets