Foreground-Aware Stylization and Consensus Pseudo-Labeling for Domain Adaptation of First-Person Hand Segmentation.
Takehiko OhkawaTakuma YagiAtsushi HashimotoYoshitaka UshikuYoichi SatoPublished in: CoRR (2021)
Keyphrases
- domain adaptation
- image segmentation
- foreground and background
- background subtraction
- semi supervised
- cross domain
- labeled data
- active learning
- multiple sources
- transfer learning
- image sequences
- semi supervised learning
- covariate shift
- sentiment classification
- target domain
- manifold alignment
- unlabeled data
- test data
- object segmentation
- unsupervised learning
- xml documents
- co training
- three dimensional
- learning algorithm
- information retrieval
- data sets