Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation.
Haoran WangTong ShenWei ZhangLingyu DuanTao MeiPublished in: CoRR (2020)
Keyphrases
- fine grained
- cross domain
- semantic segmentation
- object classes
- coarse grained
- knowledge transfer
- transfer learning
- conditional random fields
- text categorization
- superpixels
- weakly supervised
- scene classification
- object class
- access control
- object categories
- image understanding
- image features
- similarity measure
- active learning
- learning algorithm
- higher order
- support vector
- text classification
- target domain
- k nearest neighbor
- decision trees