Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation.
Tingliang FengHao ShiXueyang LiuWei FengLiang WanYanlin ZhouDi LinPublished in: NeurIPS (2023)
Keyphrases
- domain adaptation
- semantic segmentation
- object classes
- cross domain
- superpixels
- labeled data
- semi supervised
- object categories
- multiple objects
- conditional random fields
- object class
- bounding box
- d objects
- transfer learning
- multiple sources
- object segmentation
- weakly supervised
- semi supervised learning
- image features
- computer vision
- machine learning
- training samples
- unlabeled data
- image representation
- object detection
- viewpoint