Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation.
Yahao LiuJinhong DengJiale TaoTong ChuLixin DuanWen LiPublished in: CVPR (2022)
Keyphrases
- cross domain
- semantic segmentation
- superpixels
- conditional random fields
- scene classification
- transfer learning
- weakly supervised
- object categories
- text categorization
- multi label
- knowledge transfer
- object classes
- prior knowledge
- target domain
- multiscale
- class labels
- segmentation algorithm
- image understanding
- data sets
- text classification
- graphical models
- reinforcement learning
- machine learning